{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>season_1</th>\n",
       "      <th>season_2</th>\n",
       "      <th>season_3</th>\n",
       "      <th>season_4</th>\n",
       "      <th>mnth_1</th>\n",
       "      <th>mnth_2</th>\n",
       "      <th>mnth_3</th>\n",
       "      <th>mnth_4</th>\n",
       "      <th>mnth_5</th>\n",
       "      <th>...</th>\n",
       "      <th>weekday_5</th>\n",
       "      <th>weekday_6</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>yr</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.355170</td>\n",
       "      <td>0.373517</td>\n",
       "      <td>0.828620</td>\n",
       "      <td>0.284606</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.379232</td>\n",
       "      <td>0.360541</td>\n",
       "      <td>0.715771</td>\n",
       "      <td>0.466215</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.171000</td>\n",
       "      <td>0.144830</td>\n",
       "      <td>0.449638</td>\n",
       "      <td>0.465740</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.175530</td>\n",
       "      <td>0.174649</td>\n",
       "      <td>0.607131</td>\n",
       "      <td>0.284297</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.209120</td>\n",
       "      <td>0.197158</td>\n",
       "      <td>0.449313</td>\n",
       "      <td>0.339143</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 35 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   instant  season_1  season_2  season_3  season_4  mnth_1  mnth_2  mnth_3  \\\n",
       "0        1         1         0         0         0       1       0       0   \n",
       "1        2         1         0         0         0       1       0       0   \n",
       "2        3         1         0         0         0       1       0       0   \n",
       "3        4         1         0         0         0       1       0       0   \n",
       "4        5         1         0         0         0       1       0       0   \n",
       "\n",
       "   mnth_4  mnth_5  ...   weekday_5  weekday_6      temp     atemp       hum  \\\n",
       "0       0       0  ...           0          1  0.355170  0.373517  0.828620   \n",
       "1       0       0  ...           0          0  0.379232  0.360541  0.715771   \n",
       "2       0       0  ...           0          0  0.171000  0.144830  0.449638   \n",
       "3       0       0  ...           0          0  0.175530  0.174649  0.607131   \n",
       "4       0       0  ...           0          0  0.209120  0.197158  0.449313   \n",
       "\n",
       "   windspeed  holiday  workingday  yr   cnt  \n",
       "0   0.284606        0           0   0   985  \n",
       "1   0.466215        0           0   0   801  \n",
       "2   0.465740        0           1   0  1349  \n",
       "3   0.284297        0           1   0  1562  \n",
       "4   0.339143        0           1   0  1600  \n",
       "\n",
       "[5 rows x 35 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sn\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "%matplotlib inline\n",
    "\n",
    "params = {'legend.fontsize': 'x-large',\n",
    "          'figure.figsize': (30, 10),\n",
    "          'axes.labelsize': 'x-large',\n",
    "          'axes.titlesize':'x-large',\n",
    "          'xtick.labelsize':'x-large',\n",
    "          'ytick.labelsize':'x-large'}\n",
    "sn.set_style('whitegrid')\n",
    "sn.set_context('talk')\n",
    "\n",
    "plt.rcParams.update(params)\n",
    "pd.options.display.max_colwidth = 600\n",
    "from sklearn import datasets, linear_model\n",
    "data = pd.read_csv('./FE_day.csv')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 731 entries, 0 to 730\n",
      "Data columns (total 35 columns):\n",
      "instant         731 non-null int64\n",
      "season_1        731 non-null int64\n",
      "season_2        731 non-null int64\n",
      "season_3        731 non-null int64\n",
      "season_4        731 non-null int64\n",
      "mnth_1          731 non-null int64\n",
      "mnth_2          731 non-null int64\n",
      "mnth_3          731 non-null int64\n",
      "mnth_4          731 non-null int64\n",
      "mnth_5          731 non-null int64\n",
      "mnth_6          731 non-null int64\n",
      "mnth_7          731 non-null int64\n",
      "mnth_8          731 non-null int64\n",
      "mnth_9          731 non-null int64\n",
      "mnth_10         731 non-null int64\n",
      "mnth_11         731 non-null int64\n",
      "mnth_12         731 non-null int64\n",
      "weathersit_1    731 non-null int64\n",
      "weathersit_2    731 non-null int64\n",
      "weathersit_3    731 non-null int64\n",
      "weekday_0       731 non-null int64\n",
      "weekday_1       731 non-null int64\n",
      "weekday_2       731 non-null int64\n",
      "weekday_3       731 non-null int64\n",
      "weekday_4       731 non-null int64\n",
      "weekday_5       731 non-null int64\n",
      "weekday_6       731 non-null int64\n",
      "temp            731 non-null float64\n",
      "atemp           731 non-null float64\n",
      "hum             731 non-null float64\n",
      "windspeed       731 non-null float64\n",
      "holiday         731 non-null int64\n",
      "workingday      731 non-null int64\n",
      "yr              731 non-null int64\n",
      "cnt             731 non-null int64\n",
      "dtypes: float64(4), int64(31)\n",
      "memory usage: 200.0 KB\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(731, 35)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.info()\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>season_1</th>\n",
       "      <th>season_2</th>\n",
       "      <th>season_3</th>\n",
       "      <th>season_4</th>\n",
       "      <th>mnth_1</th>\n",
       "      <th>mnth_2</th>\n",
       "      <th>mnth_3</th>\n",
       "      <th>mnth_4</th>\n",
       "      <th>mnth_5</th>\n",
       "      <th>...</th>\n",
       "      <th>weekday_4</th>\n",
       "      <th>weekday_5</th>\n",
       "      <th>weekday_6</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>yr</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.355170</td>\n",
       "      <td>0.373517</td>\n",
       "      <td>0.828620</td>\n",
       "      <td>0.284606</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.379232</td>\n",
       "      <td>0.360541</td>\n",
       "      <td>0.715771</td>\n",
       "      <td>0.466215</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.171000</td>\n",
       "      <td>0.144830</td>\n",
       "      <td>0.449638</td>\n",
       "      <td>0.465740</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.175530</td>\n",
       "      <td>0.174649</td>\n",
       "      <td>0.607131</td>\n",
       "      <td>0.284297</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.209120</td>\n",
       "      <td>0.197158</td>\n",
       "      <td>0.449313</td>\n",
       "      <td>0.339143</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   instant  season_1  season_2  season_3  season_4  mnth_1  mnth_2  mnth_3  \\\n",
       "0        1         1         0         0         0       1       0       0   \n",
       "1        2         1         0         0         0       1       0       0   \n",
       "2        3         1         0         0         0       1       0       0   \n",
       "3        4         1         0         0         0       1       0       0   \n",
       "4        5         1         0         0         0       1       0       0   \n",
       "\n",
       "   mnth_4  mnth_5 ...  weekday_4  weekday_5  weekday_6      temp     atemp  \\\n",
       "0       0       0 ...          0          0          1  0.355170  0.373517   \n",
       "1       0       0 ...          0          0          0  0.379232  0.360541   \n",
       "2       0       0 ...          0          0          0  0.171000  0.144830   \n",
       "3       0       0 ...          0          0          0  0.175530  0.174649   \n",
       "4       0       0 ...          0          0          0  0.209120  0.197158   \n",
       "\n",
       "        hum  windspeed  holiday  workingday  yr  \n",
       "0  0.828620   0.284606        0           0   0  \n",
       "1  0.715771   0.466215        0           0   0  \n",
       "2  0.449638   0.465740        0           1   0  \n",
       "3  0.607131   0.284297        0           1   0  \n",
       "4  0.449313   0.339143        0           1   0  \n",
       "\n",
       "[5 rows x 34 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = data[['instant', 'season_1', 'season_2', 'season_3', 'season_4', 'mnth_1', 'mnth_2', 'mnth_3', 'mnth_4', 'mnth_5', 'mnth_6', 'mnth_7', 'mnth_8',\n",
    "          'mnth_9', 'mnth_10', 'mnth_11', 'mnth_12', 'weathersit_1', 'weathersit_2', 'weathersit_1', 'weekday_0', 'weekday_1', 'weekday_2','weekday_3', 'weekday_4','weekday_5', 'weekday_6',\n",
    "         'temp', 'atemp', 'hum', 'windspeed', 'holiday', 'workingday', 'yr']]\n",
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    cnt\n",
       "0   985\n",
       "1   801\n",
       "2  1349\n",
       "3  1562\n",
       "4  1600"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y = data[['cnt']]\n",
    "y.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(584, 34)\n",
      "(584, 1)\n",
      "(147, 34)\n",
      "(147, 1)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=1,test_size=0.2,train_size=0.8)\n",
    "print(X_train.shape)\n",
    "print(y_train.shape)\n",
    "print(X_test.shape)\n",
    "print(y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2193.86635303]\n",
      "[[   -6.61619432  -805.12695676   148.4835449    -85.45333409\n",
      "    742.09674596 -1526.05539858 -1145.33783197  -529.80793921\n",
      "   -503.45779254    10.84650975    49.80902956   -99.73748065\n",
      "    478.11099011  1232.48234001   853.31740298   584.19091641\n",
      "    595.63925413  1036.9143661   1533.50402474  1036.9143661\n",
      "    -83.50288183  -180.2446712    -75.44320572   -31.4511591\n",
      "    -16.73351943   103.82646563   283.54897166  2219.07654067\n",
      "   1350.28076173 -1411.08121886 -1373.26214822  -445.50833079\n",
      "    245.46224096  4381.17171124]]\n",
      "SCORE: 0.8563094154896703\n",
      "MSE: 549243.3047977915\n",
      "RMSE: 741.109509315453\n",
      "MSE: 839679.9473324213\n",
      "RMSE: 916.340519311692\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAByMAAAJ7CAYAAABAoD1pAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAIABJREFUeJzs3Xl0W/Wd//+XJDteYjshdpxgB5wNx1mcxBACJCG7RRcopO1Qtg6Eb2egk6Yt0DPTzo/T5TudmfP9dtppO2RKDzSGKfOlDJSkEzqlkpOQfSGJs69kMcFKHMchcbzbkn5/GAnb2q5kSZbs5+McjoN07/XHV/de+9zXfb8/Jrfb7RYAAAAAAAAAAAAARJm5vwcAAAAAAAAAAAAAYGAijAQAAAAAAAAAAAAQE4SRAAAAAAAAAAAAAGKCMBIAAAAAAAAAAABATBBGAgAAAAAAAAAAAIgJwkgAAAAAAAAAAAAAMUEYCQAAAAAAAAAAACAmCCMBAAAAAAAAAAAAxARhJAAAAAAAAAAAAICYIIwEAAAAAAAAAAAAEBOEkQAAAAAAAAAAAABigjASAAAAAAAAAAAAQEwQRgIAAAAAAAAAAACICcJIAAAAAAAAAAAAADGR0t8DQGLbu3evJMlisfTzSAAAAAAAAAAAABBPTqdTknTbbbdFvA0qI4E+cjqd3pMRABB7XHcBIL647gJAfHHdBYD44roLxB6VkQjKUxE5c+bMfh5J4jpx4oQkadKkSf08EgAYHLjuAkB8cd0FgPjiugsA8cV1Fwhu//79fd4GlZEAAAAAAAAAAAAAYoIwEgAAAAAAAAAAAEBMEEYCAAAAAAAAAAAAiAnCSAAAAAAAAAAAAAAxQRgJAAAAAAAAAAAAICYIIwEAAAAAAAAAAADEBGEkAAAAAAAAAAAAgJggjAQAAAAAAAAAAAAQE4SRAAAAAAAAAAAAAGKCMBIAAAAAAAAAAABATBBGAgAAAAAAAAAAAIgJwkgAAAAAAAAAAAAAMUEYCQAAAAAAAAAAACAmCCMBAAAAAAAAAAAAxARhJAAAAAAAAAAAAICYIIwEAAAAAAAAAAAAEBOEkQAAAAAAAAAAAABigjASAAAAAAAAAAAAQEwQRgIAAAAAAAAAAACICcJIAAAAAAAAAAAAADFBGAkAAAAAAAAAAIABzeVyad++fXrjjTf6eyiDTkp/DwAAAAAAAAAAAACIto8++kh2u9373+XLl5WRkaEHHnhAaWlp/T28QYMwEgAAAAAAAAAAAAPCqVOntGrVKtntdh09etTn/ZaWFm3fvl2LFi3qh9ENTrRpBQAAAAAAAAAAwIDQ0NCgX/ziF36DSA+bzRbHEYEwEgAAAAAAAAAAAEnh/PnzWr16tf70pz/5fb+srEy5ubl+38vJydGyZct0++23x3KI6IU2rQAAAAAAAAAAAEhIjY2N2rRpk2w2m+x2u44dOyZJ+uxnP6vPfvazPsubzWYtXbpUb7zxhiwWi+644w5ZrVZZrVbdfvvtSkkhGos39jgAAAAAAAAAAAASgtPpVFVVlWw2m2w2m7Zv366Ojg6f5d577z21tbUpLS3N571vfvObeuihh7Ro0SINGzYsHsNGEISRAAAAAAAAAAAA6Dcffvih7Ha7bDabKisrdeXKlZDrtLS0aPv27Vq0aJHPe3PmzInFMBEhwkgAAAAAAAB4OV1ubTp5SWuqHKpvbFNuVpqWlRVoQXG+LGZTfw8PAAAMMF/84he1Zs0aw8tbLBbdeeedslqtGjt2bOwGhqghjAQAAAAAAIAk6XJjm5ZX7NahmgaZTZLLLZlN0roDDpUW5qhi+WzlZfm2QgMAAAjG5XLJbDb7fW/ixIkh1584caJ33seFCxfSejXJ+P/kAQAAAAAAMKg4XW4tr9itI44GSV1BZPevRxwNWl6xW07PCwAAAEFUV1fr5Zdf1oMPPqiRI0fK4XD4Xa68vNznteHDh+tLX/qSfv3rX+vMmTM6deqUVq1apfvvv58gMglRGQkAAAAAAABtOnlJh2oaAr7vckuHahq0+WSdFpXkx3FkAAAgGVy/fl3vvfeebDabbDabTp482eN9u92uxx9/3Ge9efPmKTs7WzNnzlR5ebmsVqtmzZoli8USr6EjxggjAQAAAAAAoDVVDm9r1kDMJmlNVQ1hJAAAkNPp1J49e2S322Wz2bRjxw51dnYGXN5ms/kNIzMyMnTp0iWlp6fHcrjoR4SRAAAAAAAAUH1jW9AgUuoKKuub2uIzIAAAkHCuXLmit956S3a7XevXr9fHH39seN29e/cGfI8gcmAjjAQAAAAAAIBys9IMVUbmDk2L36AAAEBCqaur01NPPWVo2ZSUFM2ZM8fbevW2226L8eiQqAgjAQAAAAAAoGVlBVp3wBF0GZdbWlZWGKcRAQCAeOvs7NSePXvU3t6u+fPn+7xfXFysm2++WR9++KHf9SdNmiSr1ary8nItXLhQ2dnZsR4ykgBhJAAAAAAAALSgOF+lhTk64mjwWx1pMknTCnI0v3hk/AcHAABi5uzZs7LZbLLZbNqwYYOuXr2quXPnauvWrT7LmkwmlZeX6ze/+Y0kacSIEVq6dKnKy8tVXl6uoqKieA8fSYAwEgAAAAAAALKYTapYPlvLK3brUE2Dt2Wr5+u0ghxVLJ8ti9nU30MFAAB9cO3aNW3cuNEbQJ4+fdpnmZ07d6qhoUE5OTk+7z322GMaP368rFarysrKZLFY4jFsJDHCSAAAAAAAAEiS8rLStHbFPG0+Wac1VTWqb2pT7tA0LSsr1PzikQSRAAAkoc7OTr3//vve8HHXrl1yOp1B13E6ndq4caPuv/9+n/cWLlyohQsXxmi0GIgIIwEAAAAAAOBlMZu0qCRfi0ry+3soAACgj77//e/rl7/8pa5du2Z4ndzcXC1dulQjR9KaHdFBGAkAAAAAAAAAADAApaamhgwiU1NTNXfuXFmtVm/rVbPZHKcRYjAgjAQAAAAAAAAAAEginZ2d2rVrl+x2u2w2myoqKjRp0iSf5axWq77//e/7vD5lyhSVl5fLarVq/vz5ysrKisewMUgRRgIAAAAAAAB94HS5tenkJa2pcqi+sU25WWlaVlagBcX5zLMJAIgKt9ut06dPe8PHDRs2qKGhwfu+3W73G0bOmjVLw4cPV0pKipYuXSqr1ary8nKNGTMmnsPHIEcYCQAAAAAAAETocmObllfs1qGaBplNksstmU3SugMOlRbmqGL5bOVlpfX3MAEASejq1avasGGDbDabbDabzp49G3BZm82mb3zjGz6vWywW7du3T0VFRbReRb8hjAQAAAAAAAAi4HS5tbxit444uipTXG71+HrE0aDlFbu1dsU8KiQBACF5Wq96wsfdu3fL5XIZWnfjxo3q6OhQamqqz3vjxo2L9lCBsBBGAgAAAAAAABHYdPKSDtU0BHzf5ZYO1TRo88k6LSrJj+PIAADJqLa2VvPmzTO8/MiRI73zPi5dutRvEAkkAsJIAAAAAAAAIAJrqhze1qyBmE3SmqoawkgAgCTpypUrqqmpUWlpqc97hYWFmjp1qo4cOeJ33SFDhujuu+/2zvs4Y8YMWq8iKQz6MPL8+fP67W9/qx07duijjz5SR0eHhg8frpKSEt1333267777gp7MZ86cUUVFhbZt26a6ujoNGzZMpaWl+upXv6o5c+aE/P4ul0tvvfWW3n77bZ05c0YdHR0qLCxUeXm5nnzySWVnZ4fcRl/HAAAAAAAAgPDVN7YFDSKlrqCyvqktPgMCACScjo4O7dy509t6dc+ePSotLdX+/fv9Lm+1WnuEkdOmTfOGj/Pnz1dmZma8hg5EzaAOIysrK/Wd73xHLS0tPV6vq6tTXV2dtmzZorfeeku/+tWvlJWVZWj9uro6bdiwQRs2bNDTTz+tZ555JuD3b2tr01NPPaUdO3b0eP3UqVM6deqU/vCHP6iiokJFRUVh/QzhjAEAAAAAAACRyc1KM1QZmTs0LX6DAgD0K7fbrVOnTnnDx40bN6qxsbHHMgcOHNDFixc1evRon/W/8IUv6NKlSyovL1d5ebkKCgriNXQgZgZt/e758+f17LPPqqWlRbm5ufrhD3+od999V9u2bdN//ud/aunSpZKk3bt36x//8R991j99+rQ3BCwsLNS///u/a8eOHfrDH/6gz3zmM5KkF198UWvXrg04hh/+8IfeIPLRRx/Vu+++q61bt+onP/mJhg8frpqaGn39619Xe3u73/WjMQYAAAAAAABEZllZgaHKyGVlhfEZEACgX1y5ckVvvvmm/vqv/1rjxo3TpEmTtHLlSq1bt84niPSorKz0+/rChQv12muv6fHHHyeIxIAxaMPIN998U21tbTKbzXrxxRf18MMPa9y4ccrLy9OsWbO0atUqLVy4UJK0bt06NTU19Vj/Zz/7mVpaWpSZmalXX31VS5Ys0YgRI1RSUqKf//znWrBggSTppz/9qdrafFtxHDt2TGvWrJEkPfLII/r+97+vcePGaeTIkfrCF76gF198UWazWadPn9bvfvc7vz9DX8cAAAAAAACAyC0ozldpYY7MJv/vm0xSaWGO5hePjO/AAABx8dprr+mOO+5QXl6eHnzwQb300kuqrq4OuV5paaksFkscRggkhkEbRh4/flySVFRUpOnTp/td5r777pPU1dPZ4XB4X7906ZLWr18vSXrwwQd100039VjPZDLp2Wef9Vm2u9dff11ut1upqalauXKlz/tlZWVavHixJPkNI6MxBgAAAAAAAETOYjapYvlsTS3IkSRvKOn5Oq0gRxXLZ8sSKK0EACS1y5cva/fu3XK7g5fJjxo1So899pj+4z/+Qw6HQwcPHtTDDz8cp1EC/W/QzhmZltbVq99sDpzHdn9vxIgR3n9v2rTJe3G55557/K5bUlKioqIiVVdXa+PGjfrc5z7X4/1NmzZJkmbPnt1j293dc889qqys1OnTp/Xhhx/q5ptvjuoYAAAAAAAA0Dd5WWlau2KeNp+s05qqGtU3tSl3aJqWlRVqfvFIgkgASFL19fVav369bDabVq5cqRkzZvgsY7Va/a6blpam+fPny2q1ymq1qrS0VCYTvw8weA3aMHLy5Mmy2Ww6d+6cjh8/rpKSEp9l3n33XUldoV5ubq739aNHj0qSUlJSNG3atIDfY/r06aqurtaxY8d6vH7lyhVdvHjRu0wg3S9uR48e7RFG9nUMAAAAAAAA6MnpcmvTyUtaU+VQfWObcrPStKysQAuK84OGihazSYtK8rWoJD+OowUARFN7e7u2b98uu90um82mvXv3eguCxo8f7zeMnDx5sgoKCuRwODR9+nRv+Dhv3jxlZGTE+0cAEtagDSMfeeQRvfrqq7p69aq+/vWv67nnntPs2bOVnZ2t6upqvfLKK/rzn/+szMxM/eAHP+ix7tmzZyVJ+fn5GjJkSMDvMWbMGElSdXW1XC6Xt9LyzJkz3mV6t1ftrqCgQGazWS6Xy/s9ozUGAAAAAAAAfOpyY5uWV+zWoZoGmU2Sy93VbnXdAYdKC7vareZlpfX3MIE+iTRwBwYit9ut48eP67XXXtO2bdu0Z88eNTU1+V3Wbrfr7//+731eN5lMevPNNzVu3DjdeOONsR4ykLQGbRg5fPhw/fa3v9XKlSt17tw5Pffccz3et1gs+sxnPqO/+Zu/0aRJk3q8d/XqVUnSDTfcEPR7eKop29vb1dzcrKysrB7rSwrYolWSUlNTlZOTo6tXr/ZYJxpjCIfT6dSJEyfCXm+waG5uliT2EQDECdddAIgvrrsABgOny61vvfORPqhvk9QVRHb/erimQQ//aot+ce+YmAc2XHcRK1dbOvW8/YJO1bf5BO635Kbpx+U3anjGoL1djEHi448/1vbt27Vt2zZt377d28EwlG3btmnfvn0aOnSoz3u5ublqaGhQQ0NDtIcLJASn0ymLxdKnbQzq3y7FxcVatWqV/u7v/k6HDx/u8Z7T6VRtba0uXbrkE0a2tLRI+nTeyUDS09O9/25qavIGgZ71jWzD877nD9FojQEAAAAAAABd9tQ069QnQaQ/bkmn6tu0t6ZZs2/yvRENJDqny63n7RcCBu4f1LfpefuFuATuQH9pamrS3Xffrc7OTsPrTJ48WXPmzNHcuXODdigEENygDSPdbrf+7d/+TatWrVJubq7+4R/+QfPmzVNmZqbOnTuniooKvfvuu3rqqaf0T//0T3rggQf6e8j9xmKx+ASy+JTnSUX2EQDEB9ddAIgvrrsABoMX9lV5K8UCMZuk9+tM+urS2F4Pue4iFjYcr9Wp+tMB3/cE7rWmEVo0iblPkbzcbrfq6uqUn+//OJ41a5Z27twZcP0bb7xRVqtV5eXlWrp0qUaNGhWroQJJY//+/X3exqANI1966SWtWrVKGRkZeu211zR+/HjvezNnztQvfvELfe9739Pbb7+tH/zgB5ozZ473AuaZeLatLfATc5LU2trq/Xf38u3uE9eG2obn/czMzB6v93UMAAAAAAAA6FLf2BY0iJS6gsr6puD3YYBEtabKYShwX1NVo0UlhJFILnV1daqsrJTdbpfNZlNaWppOn/Yfvlut1h5hZEZGhmbNmqW5c+fqscce05QpU2QyUR0MRNugDCPb29v10ksvSZLuvffeHkFkd9/61rf09ttvq7W1VX/605/0+OOPS+qab1Lq6i8dzJUrVyR1zf3YPUz0rN99GX86Ozu9faa7rxONMQAAAAAAAKBLblaaoaAmd2jw6XKAREXgjoGkra1N27Ztk81mk91u1759+3yWOX36tCZMmODz+j333KN169bJarXKarVqzpw5qq6ulkRFOhBLgzKMPH36tDfkmzJlSsDlRo8erdzcXNXX1+vMmTPe18eNG6cdO3bo0qVLam9vD9gr+qOPPpIkjR07Vmaz2ft69/DTs4w/DodDLpfL+z276+sYAAAAAAAA0GVZWYHWHXAEXcbllpaVFcZpREB0Ebgjmbndbh09elQ2m002m02bNm1SS0tL0HXsdrvfMHLOnDl+w0sAsTUo06nurUtDcbu7fkN3D/I8AWZnZ6eOHDkScN2DBw9K6prktrsRI0Zo9OjRPZbx58CBAz7fM1pjAAAAAAAAQJcFxfkqLcyROUBnPpNJKi3M0fzikfEdGBAly8oKDFVGErgjkWzdulVPPPGExowZo2nTpunZZ5/Vu+++GzKIzMjI0OXLl+M0SgBGDMowMi8vz/vvo0ePBlzuwoUL3janN954o/f1BQsWePtG//nPf/a77vHjx3Xu3DlJ0qJFi3zeX7BggSRp165dAVuterY9YcIE3XzzzT7r93UMAAAAAAAAycTpcmvD8VqtfL1Kj7y0Uytfr9KG47VyhkpZQrCYTapYPltTC3IkyRtKer5OK8hRxfLZsgRKK4EER+COZHTy5Em9+uqrcjiCV65L0q233qrvfve7Wr9+vT7++GM9//zzcRghAKMGZRh50003acyYMZKkd955xxvY9fbLX/7S+++5c+d6/52fn68lS5ZIkt544w3V1NT4rPvzn//cZ9nuHnroIZlMJnV0dOiFF17wef/AgQNav369d9neojEGAAAAAACAZHG5sU0PrNqqJ1/Zoz8edGj76Xr98aBDT76yRw+s2qrLjX2b6y4vK01rV8xTxRO3697pBZo7MVf3Ti9QxRO3a+2KecrLon0lkheBOxKN2+3W4cOH9bOf/UxVVVV+lykvLw+4fmFhoZYvX67XX39dly5d0t69e/XP//zPWrx4sdLSuF4DiWZQzhkpSU8//bSef/55tbS06LHHHtO3vvUtzZs3T5mZmTp37pxWr16td999V1JXVeHUqVN7rP/ss89q27Ztam5u1l/+5V/q+eef14wZM1RXV6cXX3xRGzdulCQ999xzfi9+U6ZM0bJly/T222/rtddek8lk0mOPPaasrCzt2LFDP/7xj+VyuTRhwgS/YWQ0xgAAAAAAAJAMnC63llfs1hFHg6RP573zfD3iaNDyit1au2Jen8IUi9mkRSX5WlSS39chAwnHE7hvPlmnNVU1qm9qU+7QNC0rK9T84pEEkYi52tpaVVZWymazyW6368KFC5Kk7373uyorK/NZ/qabblJJSYmOHz+uzMxMLVy4UFarVVarVSUlJd7OgQASn8ntmRRxEPqXf/kXvfzyywq2C8rKyvTrX/9aw4YN83mvsrJS3/nOdwL2qH766af1zDPPBNx2a2urnn76ae3YscPv+4WFhaqoqFBRUVHAbfR1DKHs379fkjRz5syItzHQnThxQpI0adKkfh4JAAwOXHcBIL647gJIBBuO1+rJV/aEXK7iiduTPkjkugtgoGhtbdXWrVtls9lks9l04MABv8vdeuut2rt3r9/33nnnHWVlZemuu+6KWcEN110guGjkRIO2MlKSvvOd76i8vFy/+93vtG/fPtXW1qqzs1PDhg3TlClT9PnPf1733nuvUlL876alS5fq7bff1urVq7V9+3bV1dUpJydH06dP11e/+lXNmTMn6PdPT0/X6tWr9eabb2rNmjU6ffq0Ojo6VFhYKKvVqieffFLZ2dlBt9HXMQAAAAAAACS6NVUOmU2fVkL6YzZJa6pqkj6MBIBk5Xa7dejQIdntdtlsNm3evFmtra0h16uqqlJdXZ1GjvSds/Tee++NxVABxNmgDiMlacaMGZoxY0bE648fP14//vGPI17fbDbrK1/5ir7yla/02xgAAAAAAAASWX1jW9AgUuoKKuub+jZvJAAgMi6XSxMnTtTZs2cNrzN06FBv69VABUEABgbOcAAAAAAAACS03Kw0Q5WRuUNj08IPANDF6XTKYrH4vG42m0OGkSaTSbfddpt33se77rpLQ4YMieVwASQIwkgAAAAAAAAktGVlBVp3wBF0GZdbWlZWGKcRAUB0OF1ubTp5SWuqHKpvbFNuVpqWlRVoQXG+LGZTfw/P23rVM+/jyZMndebMGZnNZp9lrVar7HZ7j9duuukmb/i4ZMkS5ebmxmvoABIIYSQAAAAAAAAS2oLifJUW5uiIo8FvdaTJJE0ryNH8Yt/5xgAgUV1ubNPyit06VNPgrf42m6R1BxwqLcxRxfLZysuKf8X3hQsXVFlZKZvNJrvdrtra2h7vHzx4UDNnzvRZz2q16kc/+pEWLVokq9Wq8vJyFRcXy2Tq/1AVQP8ijAQAAAAAAEBCs5hNqlg+2+9Ne5e7K4isWD47IaqIAMAIp8ut5RW7dcTRIOnTNtSer0ccDVpesVtrV8yL+bWtublZW7Zskd1ul81m06FDh4Iub7PZ/IaRpaWlqq+vp/UqAB+EkQAAAAAAAEh4eVlpWrtinjafrNOaqhrVN7Upd2ialpUVan7xSILIGEj09pFAMtt08pIO1TQEfN/llg7VNGjzyTotKsmP+vc/d+6c3nzzTdlsNm3ZskVtbW2G192/f7/f100mE0EkAL8IIwEAAAAAAJAULGaTFpXkx+TGPHpK1PaRwECxpsrhPbcCMZukNVU1Mbnmvf/++/rbv/1bQ8tmZWVp8eLFKi8vl9Vq1S233BL18QAY2AgjAQAAAAAAAHg5XW49sXqXjjiuS+rf9pGIDapeIxPN/Vbf2BY0iJS6zrn6JuMVi901Nzdr8+bNKiwsVGlpqc/7ixcvlslkktvtOwiz2azbb7/dO+/jnXfeqdTU1IjGAQASYSQAAAAAAIghbngDyWfdgRod/iSI9CfW7SMRW1S9Riba+y03K81QZWTuUGPbdLlcOnDggGw2m2w2m7Zu3ar29natWLFCL7zwgu/3z83VrFmz9P7770uSioqKdM8996i8vFyLFy/WiBEjDP8sABAKYSQAAAAAAIgJbngDycfpcusH/3005HImxa59JGLH6XJrecVuHXF0zVVI1asxsdhvy8oKtO6AI+gyLre0rKww4Ps1NTWy2+2y2WyqrKxUXV2dzzI2my3g+t/+9rd19epVlZeXa+LEiTKZ+MwBxAZhJAAAAAAAiDpueAPJadPJS7rW0hFyObcibx+J/rPp5CUdqmkI+D5Vr/7FYr8tKM5XaWGOjjga/FZHmkzStIIczS8e6X2tqalJmzdv9lY/Hj0a+sGBU6dO6dy5cxo7dqzPe4888oihsdLlAEBfEUYCAAAAAICo44Y3kJzWVAWv1OrOaPtIJI41VQ5DrUGpeu0pFvvNYjapYvlsvx0EXO6uILJi+Wxv2PelL31J77zzjtrb2w2Pe+zYsbJarXK5XIbX6Y0uBwCigTASAAAAAABEHTe8geRU32i82jFY+0gkpvrGtqDXZanruk3Va0+x2m95WWlau2KeNp+s05qqGtU3tSl3aJqWlRVqfvHIHlWHJpMpZBCZk5OjxYsXq7y8XFarVRMmTOhT61W6HACIFsJIAAAAAAAQddzwBpJTblZayAcJJGlYRkqP9pFIDkY+X7OJqtfeRgwdYmy5TGPLddfS3KTm0+/LvMuuk9u2afv27UpNTZXUsz3qh+kTfNY1m8264447ZLVaZbVaNXv2bKWkRO+WP10OAEQLYSQAAAAAAIg6bngDyWlZWYHWHQjdqvVH90+jEioJGfl8XW6qXnubMHKoseXys0Iu43K5tG/fPtntdtlsNm3btk0dHZ/O07pz507dfffdPu1R27KKJUkpw0ercOod+tHfPKL7P2fV8OHDI/uhDKDLAYBoIYwEAAAAAABRxw1vIDktKM5XaWGOjjga/AYQJklTC3J03/SCuI8NfRfy8zV1zVVI1WtPp+uajC13qdHv6+fPn/eGj5WVlaqvrw+4DZvNpjlz5/m0R00dPlqFT/9GKcNGyWyS3qrP0WM5w8L/YcJAlwMA0UIYCQAAAAAAoo4b3kBysphNqlg+u0dFlsst79dphTmqWD6bqsgkFfLzLeDz9edKU/C5Gr3LNXct19TUpPfee082m002m03Hjx83/L0qKyu16NFv+G2PmjJslKT4tUc12uWg0+nWyterVN/YptysNC0rK9CC4nyOozjr3taXzwKJhjASAAAAAABEHTe8geSVl5WmtSvmafPJOq2pqlF9U5tyh6ZpWVmh5heP5LxNcny+4Qu39fiWLVt07733Gt7+xIkTvfM+LlzHk1csAAAgAElEQVS4UM//z5mEaI9qtMvBrrNXevyeX3fAodJPHlzIy6Idezz0buvLZ4FEQxgJAAAAAABighveQPKymE1aVJLPPHADFJ9vePyFcp0Nl+R2dir1hq6Wxd1bj8+fP19DhgxRe7v/isrhw4dryZIlslqtKi8v17hx43q8nyjtUUN1Oeg9nu5fjzgatLxit9aumMfv+xhzutw+bX27f+WzQCIgjAQAAAAAADHDDW8AQLJbUJyvybkpqtq1Tc1nq9Rybr86r3ykoVMXKe/e53xaj2dmZmrevHnasGGDJMliseiuu+7yho+zZs1SSkrgW/PhVmLGSqguB8HEq5UspE0nL/lt6+vBZ4FEQBgJAAAAAAAAAEA3TqdTe/fulc1mk91u1/bt29XZ2dljmdZz++V2u1VaOMyn9fijjz6qkpISWa1WLVq0SDk5OcG/X7f5/j64dN1Q2OepxIylQF0OLja06v2zVxRsmPFoJQtpTZUjIdr6AsEQRgIAAAAAAAAwpHtgUt/YptysNC0rK9CC4nza/yGp+DuW5+Q71fDBPq1fX6nKykp9/PHHwbfR9LG+PzdLT9zr2/7yySef1JNPPmloLP7m+wumdyVmrPnrcvDISzuDBpFSfFrJInHa+gLBEEYCAAAAAAAACMlfYGI2SesOOFRamKOK5bOVlxXbtpGDHWFwdPQ+lq9sfV3NR9/TC1dqDG8jJSVFd911l6bmp/dp3wea788fz3k3rSDHpxIz3hKllWwyidX5m8yfBde0wYMwEgAAAAAAAEBQgQITz9cjjgYtr9ittSt8K8QQHcHC4GkF2fra3RO0/vglbuiH4O9Y7rxaqw4DQWRxcbGsVqusVqsWLlyo7OzsPo8n1Hx/HpNvzNYt+dlaVlao+cUj+/1zXVZWoHUHHEGXiVcr2WQQy4c5kvWz4AGXwYUwEgAAAAAAAEBQoQITl1s6VNOgzSfrmJMsBkKFwYcd1/XtN/ZzQ9+Ps2fPym63q7KyUqtXr9buj5p8juWMcWVqOlzps+4NN9ygpUuXymq1qry8XEVFRVEfn9H5/m7Jz9YvHy6L+veP1ILifJUW5uiIo8Hv2OPdSjaRxfphjmT8LHjAZfAhjAQAAAAAAAAQlNHAZE1VDWFkDBitnhsIN/T72rbx2rVr2rhxo+x2u2w2mz744APve0888YT+dO1Gn2M5vWhG1z/MFqUVTlbmuDKVl1v1/773sCwWS7R/xB6Sdb4/i9mkiuWz/Va2JUor2VgzeqzG+mGOZPwseMBl8CGMBAAAAAAAABBUsgYmA4WRMNifZLuhH0nbxs7OTr3//vuy2Wyy2+3auXOnnE6n3+3bbDbVT33IZz9ahg7XqIf+SUNGT5Q5LVOSlDI6NyZBZO8A61x9s0wmyR3mfH+JMNdeXlaa1q6Yp80n67Smqkb1TW3KHZqWMK1kYymcYzUeD3Mk22fBAy6DD2EkAAAAAAAAgKBys9IM3TjuHZggOoyEwYEkyw39cNo2Vp87K5vNJpvNpg0bNujatWuGvofNZtOSOx73eyynF033/jtWx7K/AMskKdRH23u+v0Saa89iNmlRSX7CH1/RFG6L0Xg9zJFMnwUPuAw+hJEAAAAAAAAAglpWVqB1BxxBl+kdmCB6jITBgSTLDX2jbRt//ea7WvHQ5wxvNzU1VXPnzlV5ebmsVqsasvrnWHa63HpitW+AFeoj7T3fH3Pt9b9wW4zyMIcv9sngQxgJAAAAAAAAIKgFxfkqLczREUeD35vHvQMTRNf9M0IHaIEkyg39UG1Fu7dtdLuccrU2ypI5rMc2zCbpSHuusrOzdf369YDfa/Lkyd7wccGCBcrKyuoxjlgfy/5+1tE5aTrsCD3vp6dla6D5/phrr/+F22KUhzl8sU8GH8JIAAAAAAAAAEFZzCZVLJ/ttzWkv8AE0XO5sU0/rzwR8fr+bujHe75BI21Fz505rWv7NqrlXJVaqw8q/eZS5X/xeZ+f5WqbS4sXL9Yf/vAH7+u5ubkqLy/3/nfTTTcFHEusj+VAP6uRqlaTpIJhGRqblxlwvj/m2ut/4bYY5WEOX+yTwYcwEgAAAAAAAANKvIOWwSIvK01rV8zT5pN1WlNVo/qmtoCBCaLD05Lz6IXAVYDB+Luh7y8sk7qCwWEZqfrRF6bovhmFUfs8A7UV7WxpVGv1QW368z4V/eigmut7Vkm1Vh+U2+WUyWzxvuap8lz4+c/r2rVrslqtslqtKisrk9lsNjymWB3LoVqohuKWNDYvU//5tTsDLpOIc+0NtmtuuC1GeZjDF/tk8CGMBAAAAAAAQNLqfRM8Ky1FJ2obVF3fErACKy+r/1tWJiuL2aRFJflUXMWAv0BnfF5m0JacHkUjMlV9pTnkDf1AYZnHtZYOffuNA3p5yxm98uQdUTlXPG1F3c5OtV04qdazVWo5t0/tF05JblfA9dztzWpznFT6mMne1zxVnotKyvRXf/VXfRpXLI7lUC1UjQjVUjfR5tozUvU60K65kbQY5WEOX+yTwYUwEgAAAAAAAEkpUIWXR++qpCOOBi2v2K21K+YNypucg616yYhY7ZNwt9uX1p5mkzR9zDD98AtTQ97QNxqWHXFcj9q58n9/9Yrq/rRWLdUH5W5vNryeOSNHzsZ67/8nQ9tGIy1UQwnVUrfT5TZUGRmPufZCVYLG+prbX9e0SFuM8jCHL/bJ4EEYCQAAAAAAgKQTqsLLH5dbOlTToM0n6wbdjc/BWL0USrj7xGjwEcl2+9La0+WWrjS3G7qhbzQscyt658rZw3vVfGpnyOXMKamaO3eu6nIm6VruFKWNGie3zEnVttFIC9VghmWkhmypG+qnDze07UugFyrcjuU1tz+vabQYBcJHGAkAAAAAAICkE2k7RLNJWlNVM6jCyP6uXkpE4e4To8FHJPu6r609w2nJGU5YZuRc6ejo0K5du2Sz2fTNb35TeXl5Psvccutcndzwpt/1U/NuVvrYMmWOv1XLPrNUv1o+R06XO2nbNhppoRrM//7C1JAtdXtvui9BWF8DPSPhdiyuuYlwTaPFKBAewkgAAAAAAAAknUjbIbrcUn1TW2wGlaD6s3opUYWzT+YXjzQcfESyr/va2jOclpzhhGX+zhW3260PPvhANptNNptNGzdu1PXr1yVJU6ZM0UMPPeSzna8/dJ/++LPvSK5OmTOHKX3sTGWMvVXpY2coJfvT8PLBuyZKSo62jYGqCe+fEXouwUBy0i26d0aB9/+NhtS3jx2hFIvJJwgLVfEYjUDPSLjt7zjqa3vVaF/TnC639tQ064V9VWGNJxmOVSBREEYCAAAAADBIMF8cBpJI2yGGU0U2UPRX9VIiC2efuOU2HHxEsq/70toz3Jacy8qMh2Wec+XKlSvasGGDN4Csrq72u7zdbvcbRn6mbJxmPvpdXUrJV8rIsTKZzH36GfpbsGrCaQXZmjw6Wydqr4f9mf7vB0p7/C42eiyNyknXLx8uMzxGT8XjwY+uRhzoef6eOFcfeg7Q3tfcaLRXjeY17XJjm771zkc6Vd9GC2sghggjAQAAAAAYBJgvDgNNpO0Qw6kiGygirV4ayMLZJ+EEH5Hs60iOZZNJckcwN92C4nyVFubocE2DT7tPD7ezQ22OE2o9WyX7/5zUC4/ul9sdenA2m01ut1smU8+xWMwm2f/9+QExv16oasKjF65r0qgsTbkxR4cdDYY/12kFObpvekGP1/pSdWik4rEod2hEgV73vydMBj4yl1s6dem6Vr5epftn3KifV57S0Qt9a68arWuaZ199UN/Wp/EACI0wEgAAAACAAS4R5lYCoi2cCi+PZKvAihYjYddgqxgNZ59cDiP4iGRfR3Isu91SUW6GXn789rAeJLGYTapYPltPrN6tww7fqrjOa5fkWL1C7vYWSdI1A9vMz89XeXm5rFarnE6nUlJS/Fbif2vJLZLJpP/e70jI+fWMdA8w0h702MVG3T72Bk0ena1rLR260tSu1k5XwHUyUs36zRO3++yDSM9boy1MO53usAO93n9PGMioJUnHLlzXiYvXQx7nRturRuuaRgtrIH4IIwEAAAAAGOC42YaByFPhdcTREPKGejJWYEWTkbBrsFWMhrNP3q6qMRx8PBDBvg7nWO7u/JUWfe3V90M+SOIvZFu5cJyaOqUfrTuiay2d3mVTckbKlJrmDSP9SUtL0/z5870BZGlpqczmT1uvJmMlvtExG53f8/1zH0uSTFLAClSPlg6XjjoaNConvcfrkZ63Rsd4rr455Ph6B3pG57EMNFYjeldj+jt+x+dlGgpSQ13TaGENxA9hJAAAAAAAAxw32zAQeSq8ArV+LMrNVMmobDW2dyZcBVa8hQq7BmPFaDj7xC234VBofvHIsPd1oGPZ04o12PcM9SCJJ2Q7+GG92h0n1Hy2Sq3n9unltCwtffYXsj2zQEcdDV0tZj+pVjy2eKkq173VYzvTp0/3ho933323MjIy/H6/ZKzED2fM4c7vaWTRQL9/Iz1vjY6xpcMZcpnegd7b+2pCHpd91b0aM1BI7HJ3VZS2drr8jsXoNY0W1kD8EEYCAAAAADDAcbMNA1VeVprWrpinzSfreoQpgzl49CdUcGukYtRIC8u+LB9v4eyTqQXDlJFqVkuH/1ab3YOPSPe1v2P53OVmOa62hKxc8xdkud1uHT12XF/5/q91Zv92tX54SO6O1m47IFWHqi95Kyu7r//bzi/o0O4tslqtslqtWrp0qUaPHm1ovyZjJX44Y450rtpgAv3+jfRYitYYewd6tQ2tqjxaG9MgUvq0GjNUSNza4VL6J+dlpPOQ0sIaiB/CSAAAAAAABjhutiGW+jt0sphNWlSSnzDBRqLqS3AbbtvNZGnTaWSfOF1ufe3V9wMGkZKUnmLWy49/OudfpPu697H8yEs7VXM1cLtUqVcV2eXLWr9+vex2u2w2m86fPx94RWeHWj48okMp6T7B4MMPP6zHHntMJlP4528yVuKHM+ZI5vc04sTF61r5epXPtTOSYynSMXpatnr2xc0jMnTjsAx99Te7NDTNok0n6tTujHESqU+rMUOFxG51tbj99tJbdKauKaKHUWhhDcQPYSQAAAAAAAMcN9sQK8kSOqFLJMFtuG03k61NZ6h9YmSOPH9z/kUjJDfyIElH7Qc6cez3uv3XK7V37165wyhba687q6ETbvMJBlNSIr9lnIyV+OGMOdL5PUO53NiuPx50+L12hnssRTJGk0kqGJahsXmZyhqSouO111Vd36zzV1oi+jkjbeXavRrz22/sNxQSn6lr0i8fLgv/m+nTfXW4psFvBfJgbGE90PX3A1SDmTn0IgAAAAAAIJl5brYFusdiMkmlhdxsQ3iMhk7OaN6xR9x5wrhAH2P3FpaRLJ/o3t5XY3C5j4K+73S5teF4rVa+XqVHXtqpla9XacPx2qDnx7KygpBBUOOJHdr73xXas2dPyCDSMvQGDZ26SLn3PqcxK36rYXd8OerBoCdADSbRKvHDGbOnderUghzv69ESrWtn7zEa4XZLY/My9R9P3iHHtRadv9LcY0zhKMrNMBxEevaf52v39qrxCLY9+2piblrI8URbJNcE9M3lxjY9sGqrnnxlj/540KHtp+v1x4MOPfnKHj2waqsuNybOQxIDEZWRAAAAAAAMcNGYLw7oLRnnhkP4wm27mYxtOoP54FKjseXqAi8XaQXxguJ8TRrmUtWurRoyZppSskb0eN9kkqbOmqsdO97w+31NKUOUdtM0ZYwtU/q4MqXmFfm0Xo12MJiMlfjhjtlf69ROp1u7zl4J+b2MVAxG49rZfYzPrz0cst2v5zgwUgkczNA0i/7rqTl6YvVuHbt4PeByJaOy9J3PlOi/9zsCtleNV4v5vKw0/eLeMdpb06z360xxmXuYrgLxl2xV+wMRYSQAAAAAAINAX+aLA/wZaKET/Au3OikZ23QG09DaaWy5Fv/LhXsDvK2tTdu3b5fNZpPdbte+ffvkdrs14p5vaFjZZ3weJPn1o0+oePX31NTUJElKzR+vjHFlSh9bpvQxU2RKGRJ03NEOBkO1CE3EtpeRjLl361Sny60HVm0N2hq1KDdD0wuHa8eZel1ubA86pmhcOz1j/IcHpurJV/YEXdZzHLxdVRPyuh7M4kn5n4RowTdgMkmLJuVr6eRRAZeJZ7BtMZs0+6ah+urSSX3eVijtnS596VfbVF3fFRATisUHD1D1P8JIAAAAAAAGiWjMYQZ4DLTQCf6FW50Ur2qmeBmWkSLHVSPLpfp9PdQNcKfLrb0HDuub/997Ondwp9577z01Nzf7LDdN1ZoxvcDvgyR/+Y2/1ZtHryu9aIYsQ28w/LNJ0tAhFv1+30dyyx2VOdOSsRI/GmMOtY3u1W6PvLRTlxvrg44pmtfOcMLWl7ac6dNcmF+8dYw2nbykYxeDVxQfu9gYMvRJxmA7lMuNbfrSr7Z7g0h/CMVigweo+h9hJAAAAAAAAMI20EIn+BdudVIytukMZsLILB27ELjd5KfLDfX7ur8b4M7ma2o9t18tZ6vUeq5KzsZ6/XuI7R/avVUb/jhdFovF5z3LjPuUJUeIWjT/mtqd+p9DF/TOwQtRaw+ZjJX4RsbsdLm16eQlraly6PL1Njk/6bdqMUl52em6f8aN+sbiW7R661md/qRt74SRWfrru8drYUl+3NuPeoQTthoZWyBFuRmaXzxS335jf1RCn2QMtoPxVElX1/s+bNAboVj08QBV/yOMBAAAAAAAQNgGWugE/8KtThpo1UxfvLVQ7xy8YGC5MX5f734D3NXWrNrXv6f22tNhjaGsrExWq1XNzc3Kzs72ef/C1RZDQWSK2SS3ukKR7mLRHjIZK/GDjdnfHH+9ea6H3UOzy41X1NzeqRk3D/eGvP1x7TQaEBsZmz8ZqWb911NzZDGbohr6JGOwHUg483ESikUfD1D1P8JIAAAAAAAAhG2ghU7wL9zqpIFWzdTX47z7DXBzWqZcbaGrogoKCmS1WmW1WrVkyRLl5wcO9Jwut05dCt4S06MzREJEe0j/PBVth2t6zvsZSKg5ABcU52vy6KygrUwnj86K+NrZvYKzvrFNuVlpWlZWoAXF+SED4lDHuz9FuZn6r6fu0qicdEnRD32SMdj2x0ibUA9CsejjAar+RxgJAAAAAACAsA200GmwChZceD67cKuTkq2aKdQ+MHKcX667pMrKStntdl29elVr166V5HsDPH1cmRqrelZamlLTdPud8/TwF++V1WrV5MmTZTL57iN/4xyfl6lrLR1R2xfRbg9p5PhK5O1L4VW0+eM/5A01tsjG7q+C02zqqto00oY31PFelJuhktE5amzr1IjMIZowMksf1DXqmTf2e/f9/TNuJPTxw0jFqEd/7p94nFP9gQeo+h9hJAAAAAAAACKSbKETegonuAi3OilZqpmM7oPex/mwVGm887xqj29S+d3f1P79+73bNJvNunLlikaMGOFzAzxjbJkaq/5HQ0ZPVPrYmcoYd6tunTVb6769OOj5EmickcztF0w020P2NRjr7+17vL2vps/b6B7ybjp5SccuBp+H9NjF62FXqHoqOI84elZwhtuG19/x3j14vNLUrqy0FB2suap1By/47PtpBTmaPDpLJ2obCX26CWc+ztLC/tk/8Tqn+gMPUPU/wkgAAAAAAABELFlCp2QX7WqVaAUXySycfWA2SXkdtRp7YaNO2mx6e9Mmtba2+t2uy+XShg0b9OUvf9nnBnjm+Fs1ZuV/KnXoMLnc8t7gD7aPQ40zmqLVHjLWx1c8j98PDLbBDaZ7yGukXacnvJxfPNLweR+qgjOcNrzdr+uegKp78Nh7u92/Hr3QoEmjsjXlxmwddlwn9PmE0fk4i3Iz+mX/DIbfCTxA1b8IIwEAAAAAAIAEFotqlWgGF8kq1D7oaLyqHbaN+tz6F3Ro9xZduHAh4LK9rV+/Xl/+8pcl9f0GeF/bhIYjWu0hY318xfP4bWjt7NP6Us+Q10i7TpdbunitVQ+s2mr4vDc6J+Hzaw/rHx6YauhBhkABVaixH7t4XS8/PksWk6nPoU80HsRIhNajRubjLMrNlP2ZBRqSYo7LmLobLL8TeICq/xBGAgAAAAAAwCsRbtriU7GqVgmnOmug3rQNtQ8aD1Xq6qZXZDOwLZPJpNtuu01Wq1VWq1V33XVXj/f7cgPcaMjUV9Fsnxnr4yuex++wjBQ5rvZpEz1CXiPtOs0m6URtg65/EoQaOe+NzklYc7VFT76yx9CDDJEG4WaT9N/7Hfrlw2V92v/ReBDDyDbiIVSbUM9Y+iOIlPidgNgjjAQAAAAAAICkgT1fVLKKVbWK0eqsaM0fmIguX29Va+1ZWTKHy5J1g8/76WNnSpsCr3/TTTd5w8clS5YoNzc3JuM0GjJFKhrtM3s/xHCy9npUjq9AD0dcvh6/43fCyCwduxB8jsdgTJKmdZsD0Ei7TpdbutYSuCLT33kfzpyEkrEHGSINwqOx76PxIIbRbfyfpfFp0ZnIbUL5nYBYI4wEAAAAAADAoJgvKhn1pVolWJWr0eqsaMwfmEguXrwou90um82m/37nXTVfvawbFv0v5cxe5rPskFHjZc7Ikaul65wYOnSoFi1aJKvVqvLyck2aNEkmU+zPhXBDJqMsJunWoht047CMPoUh/h5iMCLU8RXs4YhhGSlxO36/eGuh3jlovEVvbzkZqT1C3lDtOk0mKSc9VQ0tHQq1K3+3+0PveW90TkIPIw8yRBqER2PfR+NBDKPb2FszVLNvGtqn8RqVqG1CB+vvBMQPYSQAAAAAAEA/SpS2qINlvqhkE2m1Sqgq1/81b5yh6qxozB/Yn1paWrRlyxbZbDbZbDYdOnTId5lzVX7DSJPJrOyyz+ve0lH6q4cf0F133aUhQ4ZEPJZIz/VwQyajXJJaO5z616/MjPhaE8mcgt7v75bGj8yU0+X2+f6hHo5oaOkMGdRF6/g1MtdfMFMLsntUlHvadT6xepcOO3wrLqfemK301BTtqf445LbfO1mnb/y/fbrS1K4RQ4dozA0Z+ujjFsNjC9V2M9IgPBr7PhptQ41uY/2Z61ELIxPld3q4jFbsJvvvBPQfwkgAAAAAABAzyXpTLl4SqS0q80UlpkiqVYxUub685aymFWTr6AX/7TSjOX9gLAS6tsy/ZaSOHD7kDR+3bNmitrbgbQXbzh+Wu7NdppSeQaPJJN390Nf1ahSqgftyrvc1DAvEHYUHDCKdU9Dj55UfaP2xSz4/f6jtenaDqdu/u4vm8Rtorj8jTJLystKDvOvr7OVmZaWnGtp+W6erT1WbodpuRhKER2vfR6NtqNFtXG1xRjBCX9H+nR7Pv6GMVOwm8u8EJD7CSAAAAAAAEBOJFLQlokRri8p8UYkpkmoVI1Wuhx0N+vlDM/WbLWd8ztG+zh8Ya/6uLSa3UxX/+Jw6PzygtutXDG9raFaWssZOl7OlQUNy8mKyD/p6rgcKwzxfhw6xqKk9sjClrw8YRDqnYHf+fn4j2zWpqwXqtZaOiI7fcIKe3nP9bT99WZcb20P+bG75VpJ5joejF/yfo03tzog/z3CFarsZThAe7fMmGm1DjW5jeIalDyPtEu3f6fH+GyrUdSaRfycgORBGAgAAAACAqEu0oC0RJVpbVOaLSkyRVKsYrXLdcOxSj4ClvqlNIzKHaEL+UJ2qbdRjL+9SQ2unhmWkaMLILH3x1sJ+r2oOdG1xmyzquPyh2kMEkWazWbNmzZLVapXVatWdd94psyWlxz7IHZrWpzkUe4vGud47DOs+zt/v+0j/c+hCRIFgXx8wiHROwd5j6P3zG9muW10tUP/q7glhf3aRBD3d5/p75KWdutxYH/JnG5pm8akk62s1aTSFarsZKqAqys1UyahsNbZ3Rv28iUbbUKPbWDI+O6IxdhfN3+n99TdUsOtMtD5XDF6EkQAAAAAAIOoSLWhLRInWFpX5ohJTJNUq4VS5dg9YPAHNul5tHx1XpWMXruudgxf6parZ5XLpwIEDstvt2rhrv47d8qjf5dLHzlR77Wmf14uKirzh4+LFizVixAifZTz7IBaida53/6y6c8sdcavO7g8YhKoU9Pd+p8stk6mr5WtfeH7++cUjtenkJZ2rbza0Tl5WetifXaig51BNg770q22yP7NQQ1LMfrdhdC7FuRPyfPZZbUNrn6tJo8Fo283+Cqii0TbU6DZuK8zs83ij+Tu9P/+GCnSdAfqKMBIAAAAAAERdogVtiSjR2qIyX1TiCjcM6Ms8k4dDVGzFq6rZ4XDIbrfLZrPJbrerrq7O+95Nf3OPzNl5Puukjy1Tw67fyzQkQ2NLZ+u55X8hq9WqiRMnymTyP9Z4zMkW63O9L3NKeh4wCFUp+NMHZ+q5/9rvNxCPBpdbunCtRQ+s2qpDNQ0K8HH5HXu4jFQmVte3qPxfN+n3X5/jN3g3OpfiidoGPfnKnpjss766+YZMw203+yOgikbbUKPbqK851+fxRvM8528oDESEkQAAAAAAIOoSLWhLRInWFnUgzRcVj4Ap3sIJA2Ixz2T39WJRkdPc3KzNmzfLZrPJZrPpyJEjgZc9W6Ws6eU+r6ePmapRj/4fpd04SXdNGqUVX7sz6PeM15xssT7XA527JnW1Mg3E84DB3Il5+tKvtgVtCXn/C1vV2uHy+340mCSdrG3U9dYOSaErLfvycITReS6r65sDBu9GHt5ITzHrw/oWSbHZZ331cXPi//6NRlWmkW2EbrgbWjTPc/6GwkBEGAkAAAAAAKIu0YK2RJSIbVEHwnxR8QqYElms5pn0iEZFjqf1qid83Lp1q9rb2w2t23rOfxhpSklV+piphq4t8ZyTra/nupFwPdC5u6QkXy9tOaPDDt8HDHLSU5WWYtFjv9kVsiVkyydBZKy4JV1r6Qi5nCdg7cvDEeHMcxkoeA/18MbNIx5dUhUAACAASURBVDJVbaDVbH9qaHUmxdzN0ajKjEdlZzR/p/M3FAYiwkgAAAAAABB1iRi0JZpEbYuazPNFRRowDbRKyljNM+kRjYqcl19+WU899ZTh5XNycrR48WLdXHqH3qr1bdHae3yhri3xnJOtL+d6OOF6oHP33hkF3pDy4rVWnaht0LWWTjW0dGhP9cd9+tnCEahS02SSctJTdL21M+QxWDA8Qz9+YFqfHo4wOt+jFDx4D/bwxu/3faTzV5qjVgn57aW36LWd1brcaCywNypR525OxmtyNH+n8zcUBiLCSAAAAAAAEHWJGrTFU6ibqQOpLWqiiCRgSuZKymDHWCzmmfQwWpHT1NSk9vZ23XDDDT7vLV68OPj3MJt1xx13qLy8XFarVbNnz1ZqaqqcLrfOrNra52uL0UrQp1/bq+z0FI0fmaW/vnu8FpWEH4ZEeq5Hq3rTE1LOLx6pB1Zt1fXWTknBW7hGk8kklYzKlsUsHXZc9/vzp6VYDAWjRbmZfQ7OjM73KHWN73Jja8D3AwXAL205E5Ug0nM8r1x8i07XNemPBx1RbfWaiPMOJus1OZq/0/kbCgMRYSQAAAAAAIi6wR60Gb2ZOhDaoiYSIwFT95vv8WzVGW1Gj7FozjPpEagix+VyqaqqSjabTXa7Xdu2bdP3vvc9/fCHP/RZdsKECRo7dqzOnTvnfW3cuHGyWq2yWq1avHixhg8f7rNetK4tRitB2zpdamts1+XGK9p99oomj87Wb792R9hhSCTnerSrN43OCxoJk6ScjFRda+kI+JnckDkk4M//8Es7DX0fZxSSOE/QY3RfHHFc1+XGtrA+c6Ph/qRRWSrKHaptpy+rqc3prR71dzwbPUdvHpGpoUPMOnaxMeSyXWFrmzYcr02IKsRkviZL0Wt1Ptj/hsLARBgJAAAAAABiYrAGbeHeTE3mtqiJxkjA1L3FaDxbdUZTLG7YewKawzUNQSvmelfknD9/Xna7XTabTZWVlaqvr++xvN1u9xtGmkwmffnLX9YHH3zgDSAnTJhgaKzRuLaEUwna3bGL1/XE6t36wzfCD0PCPdfDDdejsb1IuSX97C9myGw2Bf1MEuFa5wl6vvSrbaqubwm5fENLR9jnk9Hg8ERto4akmLXhuYU66mgIuu9CVctJUlFuhuzPLFBDa4eW/HRTyHk4zSbpiOOannxlT0JUISbrNbm7aP1OH6x/Q2HgIowEAAAAAAAxMxiDtoFwMzVZGQmYurcYjXbYEy+xOMZ6V+IEUpKboodvrNezz3xbNptNx48fD7rdXbt26erVq36rHH/yk58YGlug8fbl2hJOJWhvhx2h92005rwLN1yPxvb8MZmk9BSzWjtcAed8nFaQo4WftLCN5DOxGMxVLOawN+1XXlaa7M8sVPm/blJ1fXPQZd0K/3wyEhx6HHE06Guvvq+1K+YF3X6oajlPeDgkxay8rDT99C+m62v/sTfo93a5pYaWTu+/u3/tjyrEZL0mx8pg/BsKAxdhJAAAAAAAQBRxM7X/GAmYurcYjXbYEy+xOsa6V+K8ve8jfVDXqIaWTg3LSNW1Xb9X0wfva/3+9/VuR/Bqq+7Gjh2r6upqv2FkfwonLPIn2L6N1px34Ybr0dhe7217WkL+9MGZeu6/9sesZWRedrq3RWkgJkl5WekRf4/ehqSY9fuvz9GSn76na58EcoGEez4ZDfel8B4eCKdablHJqODzDqprfwfa5/3x4EyyXpMBhEYYCQAAAAAAEEXcTO0/oQKm3i1Gox32xIK/CrtTtddjdowFqsRZsOB5HXh/e8j1hw0bpiVLlshqtaq8vFzjx48PewzxEKjKzKhA+zaaLXTDDddDMVoNese4EUqxmHxCrli2jDQyNreM/6ySserUvKw0TblxmHacqQ+6rUjOJ09w+PBLO7X77JWgy4YTdhqtlgtVSZmTkaqGlo6gAXC8H5xJhmsygMgQRgIAAADAABSN9nDA/8/ence3Vd154/9cyZu8JvEW2yGxszj74kBCIQkJCQ5th0JSKNtMIKSshVCmZTrzDPx+zPxKn+nT0imkpbQkTdIyQwqUsPNM7ayQBQLE2W1n8ZLE+5J4lWRbur8/jBRZ2z336kqW5M/79ZqBWvde3Xt1dK443/P9HtL2XYqEwdRo7SOUBt/dM7j0DvbozVeGnUjQTE0b6+7uxp49e3DgwAH87Gc/gyR5toGVK1fik08+8fi70WjEN77xDee6j9dccw1iYiJjyNE9y+zAuVa0dvcJ7evr3upZQldtcF2J6PFef+gbXvsBRxDshsJMZ/+x8dMqvH34IiZlJuFcSw/ae/o09Sd6X6ua7NSMlOD12UaDhBiBe2CXgTPNXVi/rUzXPtlfJuWrn5zDwSr/QdJQT5wJ9z6ZiLSLjF8GQWa32/Hhhx/iww8/RHl5OS5duoRRo0YhNzcX11xzDVatWoXCwkKv+1ZVVWHLli3Yv38/WlpakJaWhtmzZ2PNmjW4/vrrhd77r3/9K7Zv346qqir09/cjLy8PxcXFWLduHVJSUhSPEeg5EBERERFRdNGrPBzRSKf1uxTug6nR3keoKWOodwBET0oZdkr8tTGbzYbDhw+jpKQEJSUlOHjwIPq/Lr26Zs0aTJ8+3WOflStX4tlnnwUATJkyBcXFxVi5ciWWLVuGtLQ0lVcnLtiBc9css10VTVi39Uuh/Zo6Lbh342ce56NnCV21wXWRaw30eN76D2/Xp7Y/0fNa1WanBrvPFi2PW97QhcrGLt37ZF+ZlNvL6sJu4kw498lEFBhJlmUNVdGjR1NTE374wx+irKzM5zZPPPEE1q9f7/H3HTt24Omnn4bZbPa636OPPop//Md/9Hlcq9WKRx55BAcPHvT6el5eHrZs2YIJEyb4PEag56DkyJEjAIB58+ZpPka0q6ysBABMnTp1mM+EiGhkYL9LROSfzS5j1cv7fA7iGCRgZm6qUHk4gP0ujVxK3yUJwPh0E2bnjfLIBALgf9+vB1NFv4d60ruPiAb+sg+HIzjr6Hfr5FHCgTF33tpYbW0tSkpKUFpaih07duDSpUte933ppZfw5JNPevzdZrPhj3/cjKSJc/FZS6yqwKDWgKK3z8axzl2aKQaF2SkYm2bSLThps8u47bef4kR9l/A+kgTIXwfLHlxSgOc/KhfKrlw0OR3//eA3hM9rT0UzXv20CudaugEAkzKT8dCSibhxmvrrttllTeVWlfoPd1r6E63n5ko0qLxl7QLcOC1Lub8PsM9WE+R2F8w+We19CpXh6JP5e5fIPz3iRCM6M/LSpUtYu3YtqqqqkJKSgocffhg33ngjMjMz0dPTg5MnT+LDDz9EXFycx77nzp1zBgHz8vLwzDPPoKioCM3NzXjllVfwP//zP/j973+PgoICrFq1yuv7/9u//ZszEPn3f//3WLNmDZKTk3Hw4EH87Gc/Q11dHR577DG8++67QTsHIiIiIiKKLnqWhyMaaVwDJmebu1De4DsgIQOobTPjfLsZspcsFj2zmfTEPsKTmkzKUPrLoQvC23prYxtun4aPPvwApaWlKCkpwenTp4WOVVJS4jUYeck8gA+s03B8R4uqjFqtmbi+stscsaIO8wC+qLkEg3RJ1wyyreuuxZpNn6G8sVtoH0eax4n6Tjz1xlGhfdRmm13q7cOLO08PuYftPe34vLpd8br9BYLVfseV+g93WvoT0fUQ/VGbnap3Bqo7pWw/f4LZJ4drFmK49slEFJgRnRn5k5/8BO+99x4yMjLw+uuv+81AdPf4449jx44dSExMxPvvv4+rrrrK+Zosy3jkkUewd+9eZGVlYceOHYiPH/qDoLy8HKtXr4Ysy7j33nvx3HPPDXm9rKwM9957L+x2O5555hncd999up+DCGZGKuPMGSKi0GK/S0Tk3/ptZfjoWL3iANwtc3Kx4Z4ixeOx3x05onUNQVEipQdFuGaxAAi7wVS9+4jhEs3ttbKyEja7jO/9pQY9Vpvi9jNyUjE5K3lIG+s59yVWr7oNAwMDwu9bWFiI4uJi3HLLLfjmN7855DWtGbWBZOKqzSbTM4PMPRNRlmV0W22wDtgDOq4r0WyzQO6h3hlmIv2Ht/MLdX9y78bPcOBcm+J27tmpemRl+hLo+q/Buofhlhk+XPh7l8g/ZkYGoKKiAu+99x4A4JlnnlEViGxubsbOnTsBAHfeeeeQICAASJKEH/3oR9i7d69z229/+9tDttm2bRtkWUZsbKzXErBFRUVYvnw5duzYgb/85S8ewUg9zoGIiIiIiKJPW7dVcWDLLgNtPdbQnBBFhGhfQ1CJrwwsLdyzWALN8NFbJPYR7oHH5PgYVDZ1orbNHLXt9cu6XqFAJOwDmJyV7BGkaEgrUgxEjh49GjfddBOKi4tRXFyM/Px8n9tqzagNJBNXJLtN9FhqGQ0SVszIxooZ2QACK7PpTm22mdZ7qHbdRBEi/Ye38wukP9Ey8UBkjUZv2alGg4QbCjMhQ8Y7ZfVo7bZie1kdZMgBT3Twle13pqkL5Y3+ywIHs09mFiIRhcqIDUb+9a9/BQBkZmZ6zPZSsnfvXjgSSm+++Wav20ybNg0TJkxAbW0tdu/e7REI3Lt3LwBg4cKFGDNmjNdj3HzzzdixYwfOnTuH8+fPY/z48bqeAxERERERRR+tA3A0cgVjwDrSqC09qMS1/F+4ibQ+QiljNVrb665zXc61EV3Zrb2wnD8OS81hmKvLYJq8EKvX/cFj/5ycHMyZMwfHjh1z/i0mJgbXX389iouLsXLlSlx99dUwGo1C56O27GWg+wHaAl/B+u69U1av27HUlvzUeg+DUZJZpP/wdm5a+xOtE2VWF+Xig6P+PzO7DKwuytPl/UR5K0G7flsZKpu6hrVP1qM0LhGREsNwn8Bw+fTTTwEA1113HQyGK7ehv79fcd9Tp04BGPwRN2vWLJ/bzZkzB8BgSVZX7e3taGxsHLKNN3PnzvV4T73OgYiIiIiIotPqolyhrCf3ATgauRwD1r7ajeuAdbRyDPbrxS4DB861YldFE2yBpFkGQST1EVoyVqOlvV622CADkO02WOsqcHn/NjT+909w4aW70bL9p+g6/BEGLtWjr/aIzwy74uJiTJ06FevXr8f777+P9vZ27N27F88++ywWLlwoHIgEtGfUBpKJ6wh8qeH47t278TOs31am23ewrTvwrLSM5DhsWbsA7z6+WFVAS+s9FOnXHEFMUSL9h7dz09KfiE6U8fb5OtZC9HX9kjRYgtT1uxPI+wUikvpkIqJAjMjMyO7ubtTW1gIAJk2ahM7OTrzyyiv4+OOP0dTUhJiYGBQWFuLWW2/Fvffei7i4uCH7V1dXAwCysrI8XnM1btw4AEBtbS3sdrsz6FlVVeXcxr28qqvc3FwYDAbY7Xbne+p1DkREREREFJ0cA3C+1pZSWx6Ool8gmUuRyFvJvzMKWSlatHb3Yd3WL8OubGgk9RFaM1Yjsb26tsuK8lM4c+RztFR+BUvtUditPT73szbXoLmpETk5OR6v/fznP8cLL7ygy/lpzagNJBNXJLvNm9buPrR2t+ma0ZaeHO81U1WUQQKun5ShqU1qvYfBKMms1H+4C6Q/CSSz02iQsOWBhT7XQvSWnRqMTFIRkdQnExEFYkQGI5uampwlTq1WK1avXo2LFy86X+/v78fJkydx8uRJfPzxx9i4cSPS0tKcr1++fBnAYG19f9LT0wEAfX196O3tRXJy8pD9Afgs0QoAsbGxSE1NxeXLl4fso8c5EBERERFRdNIyAEcjWySuIaiVrxJ8agKRagMSwSgbqmUNNYdw7SO8XVNTp0X15wMMzY5Tc2+GS2u3FX/3Txtw6vM9sNSUYeBSg/C+xpgYHDlyxGswMiZGv2E/rWUvte4HqA98eTsuoM93UGtg1PVctGa2ab2HwSjJ7Kv/8HbcQPuTQCfKqF0Lcbgm5oRrn0xEpLcRGYzs6rqyKPDGjRvR39+P+++/H2vWrEF2djbOnz+Pl19+GR9//DGOHj2Kf/3Xf8XLL7/s3MdsNgMA4uP9P6wTEhKc/97T0+MMBDr2FzmG4/Xe3t4hfw/0HNSw2WyorKxUvd9I4fhseI+IiEKD/S4RkZj/c1MmvqpLws6qLlw22zDKZMSKiSm4Oi8RbXU1aBM8Dvvd6BdntwoNwMbarRHdDmx2GT/88CLOtg0GVd1L8ImYODoOV42KxZlWKxq6BoSCko5smtd3lWHhVUnqT9zNZfMAni1twJk265BB6w+O1mNKejyeL87BKJPycI9efYQefF1TINmq7tlx7vfGZpfxZV0vdp3rwmWLDaMSjFg+KQXX5CWGdNDf0S6Pl74F87kvhPaJGTMOpoIiTJy9EBsf/xZSU5KD/t0cK8uYkh6Ps21Wr+1eAjA5PR7ZcjsqKy8FvJ/Ds0vG4NlSK860WTVnJurxHXRcx5k29ZMylK5R9L3V3sMFmTI+EJhosiBTVt1+3PuPtAQjxqfF4nxHHzosdl36kwvNl4QmypxvvuT3/HMl4PH5iQASv/7LJZw94/k56PV+WoVTnzwS8fcukX82m01VeXdvRmQw0m63O/+9v78f99xzD/71X//V+bfJkyfj17/+NTo7O7Fv3z7s2LEDx48fx+zZs4fjdImIiIiIiFQzGiQsvCpJl+AHRbflk1Kwp7rb7zZ2GVgxMSVEZxQcX9b1agokAFcG+1+6ZRyMBmlI8EyEQQJ2VnUF/H202WU8W9rgM6B6ts2KZ0sbnOfpT7j0EUrXFChv96bLavMa/NxT3a0qoKvGhQsXcPDgQdx+++1DBvMc7TIhv8hnMNJgSkXChLkwFRQhsaAIhpRM53mm6nyevhgNEp4vzvEZNJ789fm4tzut+zmMMsXgpVvG4au6Xuys6kJL9wBqL/ehu8+uKmAd6HfQ/TrcA6PxX3+kVtuV7GnRa1T73qL38Jq8RKEg5tV5iV5eVT6nYPcfoxKMQhNlRpkCGxwfrvdzFy59MhFRsIzIYGRi4pWHrMFgwOOPP+51uyeffBL79u0DAOzatcsZjDSZTAAGS7z6Y7FYnP+elHTlQeLYX+QYjtddz1mPc1DDaDRi6tSpmvYdCRwzZniPiIhCg/0uEVFosd+NfpOnyHirvEdxvap7lxdFdJm43x4uEw5eeJTJ87Lm3P/MmYFPTrfgn/56FK3dfX6PZ5eBfkN8wN+jXRVNONN2zufrMoAzbVY0SWNw41T/ZQQDKfWq57GUrkkvjntTj9F46dPTONfuPfh5rt2K5z9tD7is7uXLl7F7926UlJSgtLQU584NXuPNN9+MhQsXOrdztEtTQRGcuVqGGMSPmw5TfhESCuYjfuxE5I1KQn5Got8yk6HgaPciZS/12M9hxnRgzdf/brPLQ45V2dgVsu+g63U0dlhQ2dSJDvMA+myDbcwRiEyKN2Lx5AzcvWC8bp+Vlnu47aoC3+U/w2w9W3f3yaOwp/pLv9vYZeD+G6ZjqkJ/F47vR+GFv3eJ/Dty5EjAxxiRwUjXdRZzcnKQmel9AeAZM2bAaDTCZrM5fzQCwKhRowAAly75L63Q3t4OYHDtR9dgomN/1228GRgYQGdnp8c+epwDERERERERETBy1qsSWRsTAGbkpGJyVrLiYL/RIOHGaVm4blIGPjpWr+u6bL5sP1wHSQLkANc087V25gdH6zFbZYDC27EkDB4rzRSDrJQE9PTZkJoQg8lZyfju/LwhQUqRddr0YpCAjZ9U4Xhdp89tHCU9PzndompduIGBARw6dAglJSUoKSnBoUOHYLPZPLYrLS11BiNtdhlnm7tglwdLr6ZedxcS8qYh/qpZMMSZhuyXn5GI/37wG8LnEyyOdq92zTyt+4kca/22spB9Bx3vfUNhJla9vA9dlgEAV7IkHf8099lQf9msa9BYyz0cnRiHH64oxMZPq3CuZTADflJmMh5eMhHLpoXvOqqA8pqhjokyNxR6H9cN9/cjIhppRmQwMjs7G0lJSejp6UFGRobP7WJjYzFq1Ci0tbWhu/tKyZqCggIcPHgQzc3N6OvrQ1xcnNf9L168CADIz8+HwWBw/n3ixIke23hTX1/vLClbUFAw5LVAz4GIiIiIiMidt+ymBZkyrtFQwo0iS0ZyPN59fHFAmUvhLj05XqgE3+SsZGy4p0j4uKuLcvHB0Xq/29hlYHVRnvAxvWnttmJ3ZbPfQKTjvdp6fFdRstllPLDlEE7Wdzq3d/3nyfpOPLDlkFBmoK9jOU6xwzyADvPgeEo9gIrGLnx4rAFJcUYsmpyBuxdehdYusSAx4JmxOiE9EdOyU9DdNyCcHXeupVuoHTgCuv6yPmuqq5zBx127djknlPtTUlKCZ555xhnELW/oAgBIkoTRN6zxuo9egbRg0zPbVo1QfQdd7T3dHJSgtp58TTpo7W5Hb98A5o4fFbZZkUDoJ8qMlIk5RETDZUQGIwFg5syZOHToEJqbm31u09fX58w8TE5Odv59xowZAAZnvZ08eRJFRd7/I+XYsWMAgOnTpw/5+5gxYzB27Fg0NjY6t/Hm6NGjHu+p1zkQERERjVTDNVBGFGpq27rPTCkZmJIej21XFYT1oKWeRmo/oWfmUjgKVsAiFNk0jqBfj9Uz086dUuBKzyCK0rF86emzoeRUE0pONSHNFKMYHJQALCwYg+zUBJ+B8of//CVKTjX5fV/H11cp+OkI6PrqF98u3YeO9/8DvW0NwtccGxuLxYsX49vf/rZHEFeJ3oG0YFDKkC3MTsHYNFNQ+tLhyGgTyegVyVIOFj0nHQynUE+UGQkTc4iIhsuIDUYuX74chw4dQlNTExoaGpCTk+OxzbFjx5yZia7BvKVLl0KSJMiyjL/97W9eA4EVFRWoqakBANx4440ery9duhRvvPEGPv/8c1y6dGlI6ViHv/3tbwCASZMmYfz48R77B3oORERERCONnmXpiMKZ2rauNGh5ts0aEYOWemA/Eb2CFbAIRTaNmqCfUuBKzyCKHiVWO80DUNpdBvDo0kk+z8dml1HZpHx/7DIwMTMZ7T3titc/JjHOZ78Yk5aN3nb/gU8AGJM3EZnTFqDw6sV45K5v45vzCmA0SNhV0ST8eUZCaUiRDNkvai7BIF0KSl86HBltImWflbKUgykSMjdFhXqiTLhOzBmpE6WIKHqM2Lqdt912G5KSkmC327FhwwaP1+12O1566SUAgMFgwM033+x8LSsrCytWrAAAvPHGG6irq/PY/8UXX/TY1tXdd98NSZLQ39+P3/72tx6vHz16FDt37nRu606PcyAiIiIaSURniNtCsWhVBLLZZeyqaML6bWW4d+NnWL+tDLsqmni/wpCWtu4YtPT1ccq4Mmipx/mFa1tiPxHdHAGLmbmpAK5kyTn+GUjAwpFNs2XtAtwyJxeLJqfjljm52LJ2Ad59fHHAQRdH0E/E7Dz/gSs9gyii63D649jd1+VJkvI17T3djNo2s+J7TUhPxMNLCnz3dbKM/vY6dHz1Ifb89ifY+9p/et3WEJ+E+NypHn/PzMzEd793J+b+/f9C3g+2Im3NBliuWYMThgI8/mY5Vr28D63dVlWfZySUhlR6hjgEsy8N9nfQnaPssz/DWV5XtI09++6JsHkGk2+t3Vasenkf1m39Eh8dq8eBc2346Fg91m390tmvEBGFuxGbGTlmzBisX78eP//5z7F9+3YYjUasWbMGY8eORW1tLX73u9/h0KFDAIB77rlnyDqPAPCjH/0I+/fvR29vL+677z48++yzmDt3LlpaWvD73/8eu3fvBgD8+Mc/Rny85w+PGTNmYPXq1di+fTv+67/+C5Ik4R/+4R+QnJyMgwcP4vnnn4fdbsekSZO8BiP1OAciIiKKbJwdq040zRAPNWaKRRYtbT1U5ebCvS2xn4h+wSzBp0c2ja9ne2uXRSjolxRvVAxcia6dKRJEETmWCAlAqikWHeZ+TVltohma07JTcOO07CEZsjZLNyw1R2CpOQJzTRlsHYMZj+0AYlKzIN/4fUiS53sn5BfB2ngG46bNxxNrvouVK1di1uw5+O4rB9BZ34kY2feEhuT4WKF7Nj0nJSIy0tVmyAarLw1lRttwrFOphuhEgbrLZqzb+mVYPIPJu2gpuUtENGKDkQDwwAMPoL6+Hn/+85/x1ltv4a233vLY5lvf+hb+5V/+xePvkyZNwgsvvICnn34aFy9exKOPPuqxzaOPPopVq1b5fP/nnnsODQ0NOHjwIF577TW89tprQ17Py8vDK6+8gri4OK/763EOREREFJn8DehPSDdhanYquq0DDFC6CPe1fcKV3gMgDKIHn5a2Hopyc5EwmMZ+YmQIxxJ8NruMD47W4bn3T6HD3O/8u+PZnmaKhQT4LWcqAVg+NUsxmKBnEEXkWCLkr///tQVjAABGA5CRnCAcJBYNvHT3DcBuG8DDhX348UdvovbY5+hrPAPIdq/bD3Q2Y+BSPWLHeN6L1GtuReq138WS6Xn45we/AQCK5VcdQbhrC8YI9TVTslLC7tno7Tl+trlLdUDavS+NtN8Hw7FOpRpqJwqcqBv+ZzB5x4lSRBQtRnQwEgCeeeYZLFu2DK+//jqOHj2Ky5cvIyUlBXPmzMEdd9yB4uJin/vedNNN2L59OzZv3owDBw6gpaUFqampmDNnDtasWYPrr7/e73snJCRg8+bNeOutt/DOO+/g3Llz6O/vR15eHlauXIl169YhJSXF7zECPQciIiKKPEoD+rVtZmepsnDKOBpu4b62T7jScwAk3LPiooWWtq5nppQvkTCYFg39RKQN6NNg37h28+c4Ud/l8ZqjPXaa+4XWVfzu/HHO/+2rLSyenKlbEEUpIKPG4LqCg2s5zs5LxYZ7Zgg/E5T6sP5L9bBWH8bBHeVI/9FhdHV53mtfLOePeQ1GGhKSPfpF0QkNgHKQaDiz6nzx9RzX8tm79qWR+PtgONapVEPtRAHX0nu7JAAAIABJREFUcuxKz2A+Z0KLE6WIKFqM+GAkACxatAiLFi3StO/EiRPx/PPPa35vg8GAu+66C3fddZfmYwR6DkRERBRZlAb0XYVTxtFwC0WwJRrpNQASCVlx0UJLWw9FublIGEyL9H4iEgf0R7orfaP/4Jjruoremqd7AFGpLfzqznn48ZtHAg6iuAdklLI3lah5JrgGRM40+c/Mu/zpf6O3fC/aBM4hPj4eS5YswcR51+GDtkzEZub7PV/XflF0QoPRAP8BYQCT0+OHLavOG6XnuFqOvjSSfx8Es+xzoLRMFJCg/Azmcyb0omGiFBERwGAkERERUcRRuy4PEB4ZR8Mt3Nf2CVd6DYBEQlZctNDS1hXLzQGYlRdYublIGEyL5H4ikgf0RzI1E4wMEpCSEIMO84DfAKJIW/jxm0fw9mOLsP9sq6ogiq+MKNdjNXSYcbqpe0i5WbX8PRMGS9rW47n3T6DDPAAAkG39sNZXIj6nEFKM51I3poJ56C3f6/P9Zs+ejZUrV2LlypVYvHgxEhMTYbPLqH95n6oMUtEJDRnJCdhwzwyfWXWT0+PxfHFOWH1X1bRVEY6+NNJ/H4Rj2WfAc6KACBn+n8F8zgyPSJ8oReGNmc4USgxGEhEREUUY0XWR3A13xtFwC/e1fcKVXgMgkZAVFy20tHWlcnOT0+MDLjeXHK/8n5/DPZgWTv2E2sGhSB/QH6nUTDCyy8DM3DQ8tGSi3wCiaFvYf7ZVVRBFJCPKdf2/T063YPvhizjX0oP23j5c6umDdcCuKnvy2XdP4KerZjrb/WBJ20M4XteBgfY6mGvKYKk+DMuFE5D7zMi663mY8uc593ec57xrl2Dnxy85/56dnY3i4mKsXLkSN910E3JycjzeW0sZTjUTGvxl1WXL7aoDwkoDx4EOOGuZDOeLa1/61BtHdP19wIH1Kxxt7JYNn6K8Uaw0sb9nMJ8zwyOSJ0pReGOmM4Uag5FEREREEUYkOOTNcGccDbdwX9snXOk1ABIJWXHRQmtb9zUwviBTxtV5iQENRtjsMiqblDMzhnswTeTebbp/QdAHurUMDjHgH5nUTDAazKiLVwwgBqMtqM2I8pYt5ghQvlNWh72nm51Zjf7UXTZj3dYvMTsvFb/4zkT8w79vwunDB2CuLoOtq8Vje0tNmTMYOSMnFZOzkp3B2kfOfx/Tpk1DcXExZs+eDYPBoPj+astwqp3Q4CurrrLyktfz0TpwrMeAs2hbnTY2GQ0dVr+ZsbEGCa+uuQZGg6Tr7wMOrHsyGiRMzk5BRVMXZIHPz98zmM+Z4RFOE6UoejDTmYYDg5FEREREEUYkOOTNcGcchYNwXtsnXOk1AMISU6Glta17GxivrKwM+Hz2nm5GbZtZcbsJ6YnDPpjm797NyE3Fg3/6IqgD3VoHh0Id8LfZZeyuaMKrn1ajqqUbADAxMxkPL5mIG6eNvAwkrdRMMBIN1gejLeiREeXav6zfVoaPjtX7PU/Z1g9rXQXMNWUoqS7Dhz88C6Voirm6DKOXPQCDBEzOSsaGe4qcr23atMn/RfrgK7Dqa1JCsCY+ae0b9BpwFn2Op5niUNHY7fda+mwy7t54EG8/tki33wccWPdN9L8dJqSb/D6DObFseHBCJQUDM51pODAYSURERBRhlIJDvgx3xlG4CNe1fcKVXgMgLDEVeuHU1kXL+03LTgmLwTRfwYdVX68fBwRvoFvr4FAoA/6t3Vas2fQZyt0CDq3d7ThU3Y7pY1Pw2oPXRk0GUjDLPt42VyxIoGbd1mC0Bb0zovw9Ewa6WtH+t5dhOX8ccr9F+ByNSaMRl1UA2W6D3WAMWkBEJPsuGBOftPYNeg04iz7HAQj197VtZjyw5RB+uKJQ6Li3zsv1uw0H1n1z/LfDifpOn/F8U6wBbz5yvS4BaU4s0x8nVJLemOlMw4HBSCIiIqII4ys45A/L91Ag9BgAYYmpkU20vF93n3LZxuESqoFukcEhSRpcS29CeqIzMCYS1NIj4G+zy1i7+XOPQKSr8sYurN18CO89oT4wq2fgT49jNXVacOcfDgzJ7JWgZzas2Kyi8WMShTNfgjH5Q++MKH/PBKMpFZbaY5AH/B9LiolD/LiZMBUUIaFgPmIzJkCSBu9PsAIiarLv9J4MonXgWK8BZ9HnuEGShCfLHa/rhAQITbJ7sbQS864a5fP7xoF139z/20GShiYZT0hPxJuPXIfs1AS/x+HEsuEVTpPMKPIx05mGA4ORRERERBHIW3AoOS4GFU1dqG3rZfke0l2gAyAsMTWyRUM2RagGukUGh2R5cC29ustmZ0bWrNwUTB+bgsqmrqAG/PeebsaJ+i7F7U7Uqw/M6rnemx7Hauq0YNkvd8Pcbx/yd8ftPVEXeDbse0cbIEE5JDlnXJrwtQdj8ode32Gr1YoDBw6gtLQUU+0A8r7lEeSXYuIQf9VMWKoPe+wfmzURpvx5SCiYj4RxMyDFxHl9n2AFRIYz+07rwLFeA86iz/F//+CUcOlhgwS8d7QeWx5YiLWbD+FEve97e6qhy+/3Tet1BjPzOZxwYhkRuYqG3+YUeRiMJCIiIopQvsoIsnwPhSuWmBq5oiGbIlQzyNWsIeh4T2BwoH5qdjJm5AyW4gtWwP+dMvE1i9UEZvVc702PY9nsMu78w0GPQKQrGYEHntq6rUK5ke29fcLHVAoazcxJxfcXF+CpN44IB1+0fodlWUZFRQVKSkpQUlKCPXv2oLe3FwCQkZGB+oafYt/ZNjz77gnUXb6SfWrKL4Kl+jCMSaORUFCEhPwimPLnwZg0WugezBYsaatWsCYluAfE4uxWLJ+UgslTZOdnonXgWM8BZ3/P8UWTM7DvbAuaOi2q+q+2HisykuPx1E1T8OCfv/K7rb/vm5br1HMCRCTgxDIicoiG3+YUeRiMJCIiIooiLN9D4Y5tNDCRmsERidkU7ve6pq1XMYNNaUBf5PMTGRzyxi4D5Y3d+ON918BgkIIW8G/rFg+2qgnM6plxpsex9p5uRm1br+J5SwgsG1aPQJGvdvX2Y4uw/2zrkLawfHoWNn1yDk+9cVRV8EXNd7ilpQU7d+50BiDr6uq8nndrayuOHzuKG+fPx7/fOmNIICpp5jIkFBQNKb0KAOPHmHDxktnv/ZqVmxK0gEgwJiX4Cojtqe7GW+U9zs9E68Cx3gPO3p7jrd1W3P7Kfuc1iHJt2+8dbQgo0Kv2OvWcADGScGIZUXSIxN/mFPkYjCQiIiIiIooAkZzBEWnZFN7utSQpl9L0N6Av+vkpDQ754yh5uOGeoqAF/NNVtDE1pb30zDjT41iiGaAyAsuGDTRQJNKuHNdos8tY9fI+nGroch7X9Z/+gi/+vsO2/n7kWGsxseYiFi54CocPe5ZX9aWkpATz58/HYFjX5f2SRnvNgnzqpkJs2V/tdc3sNFMs/r9bZ+KWublB60v0LmunJiCmdeA42APOvq5BhGvbDjTQq/Y6h7PkbqTjxDKiyBdpv80pOjAYSURERBRFIjVrioj8i4YMjkjJpvB1r2WFQXJ/A/pqPz9vg0Mi9CgTq0RN5qaa0l6BBiJcn3+fnG4OOHutscPs8zV3gaynFEigSG27CjT44us7XPv+Brz/l634TPCac3NzsXLlShQXF6O4uBjAYBBdJMi3p7JlWPsRLcFjf7/N1H4mWgaOgz3grHQNvri3bdES1TWtvdhV0eTx21btdYZqHWAionAVKb/NKXowGElEREQUJSI5a4qI/IuWDI5IyKYQHVh3lGwVGdBX+/l5Gxyqae1F/WVzQGVi9bC0MAuzclNwor7L73buATSlyTJaM85sdhkfHK3Hc++fQId5QPg6/N0rm13G6Sb/1+cqkPWUAgkUqW1XgQRfmpubkZKSApPJ5PEd/mvs3+H9v2z1eUyTyYRly5Y5A5AzZswYUnoVUBeMDnU/4tp2W7ssSDPFotPc7/W76B5gU/ptlpNmUvWZaB04DuaAs0i7cr8eb21bdKJDfYcZ67Z+6fW3rZrrFG1zZ5q7sH5bGSf5EVFUioTf5hQ9GIwkIiIiCoFgZyxGQ9YUEfnGDI7QEbnXkgTkppmQn5EoNKCv5fNzHxzaVdGEdVu/9HvudhmYmJEEm13W1NeLPKuMBglb112LNZs+Q3ljt9fjpCTE4MElBc7/LTJZRkvGWWu3FWs3H8KJevVZWf5Kn+493Swc2JyQbgp4PSWtgSK17UpNwM9isWD//v0oKSlBaWkpysrK8M4772DVqlUe+yxfvhwGgwF2u935t/nz56O4uBgrV67EokWLEB/vP0iud/lTvXgt2YwrJZv9BY9FfptVtfaozuLVOnAcrAFnkXYFABnJcZg6NsVn2xYtUS0r/LYVvU7RTMzyhi5UNnZxkh8REVGAGIwkIiIiCrJQZCxGS9YUEXkXaAlLEidyr2UZyM9IxH8/+A2hY7Z2Bf75iQ7Uv7jzDHZWNKl+tqh5VmUkx+PDJ2/AnopmvLz7LI7WdcDmclLdlgE89cZR/HFfNTbdvwAP/ukLxckybz+2SFW5UvdAjxpKa+S9U1Y/JODki0EC3nzkel0m+WgJFKntF/wFX2RZRn9rLaw1Zdj3f09hzJNHYDYPLVVbUlLiNRg5ZswY3HbbbUhLS8PKlStx0003ITNTXYA20LUzg8FnyeavX5cwGHifmZuGjGTPAJvIb7Meq21wPdowC8KqIRpIvn5SBjbcU+RzG/csYaXvYKC/bdWUnOYkPyIiosAZhvsEiIiIiKKZaMaiTWRKuR+O7Ah/HNkRRBR5HIO9/oT7gHWk0Ptet3ZbcaqhQ3E7pWM6Bupn5qYqHkv02WKzy9hV0YQnXj+Mpb/Y7QyciDyrjAYJy6Zlod9uh+wWSXH8r5P1nbjzDwdxvM53ANURUPjd7rPYdP8C5/U5PgPHP91LOjoCPWqenr6O5a6t2yp03PnjRyM7NUHFGehLbVu9bW7ukM/B1nMJ3Sd3o/Wj/0Td7+5Hw+Yn0L7rjzh/7KBHIBIYDEb6sn37dmzZsgX33HOP6kAkcCXY7ut6JAmYnec7gBwMjjbmq+3KADrMA3hoyURsuKcIN04bWu1C5LeZBOX1aEMdhFVrdVGuUFBc5BocWcJb1i5A7iiT4vaB/LZVanP+uAZCiYiISAwzI4mISJVgl5okijahylhk1hSNZCPh2aQ1ayga702wr0nPDC3HhJROgZKfIsd0DNT/ZucZvLjzjN9jKT1bXDMhRTOQ9lQ0QzLAee8H7LLiM662rVcoy9CR0bnp/gU4Vd+pWK5U7Tp1aaZYLC3MFFojTyTTSwKEgiXBpL6tyrBbe9Fx4C8w15Shv7la+L0kScKoUaPQ2dmJ1FTlgLhagaydGSyBlscWyrIGkBRvhLnPJpQRPNy89b+3zc3BrNxUnGoQy2pW4sgSnpCeiLrLnkFxV4H8tlVqc0pYGp2IiEgdBiOJiEhYKEpNEkWbUK3zFq5rLREF20h5NimV6PQ22BuN9yYU16TlXvuiNCHFeUwAswSzvowGCedaewJ6trhn7YvE8yQAP3rrKDrM/aqCgKLHBwYzKR/80xd49/HFis9E0XXqgMF7sbQw02+JSFciQT4Zw5+tpratvne0AYbYeHQfK4Hd4n29T1fJY7KxeNly3HfHrSguvgkZGRl6X8IQWtfODJZAJ3qJ/jZbPCkD9R3msAnC+uKv/50+NhlTs1NQ3til2zWE4retrzZ3pqkL5Y1dfvflJD8iIiJ1GIwkIiIhoqUmuW4G0VChylgMx7WWiIJtJD2b1GYNhfO90ZrZKHpNbz+2CPvOtmjOnNQrQ8tml/H7vVVC9yTVFKtqsD7QZ4tokNTVYEnKfuexg0FNtQCRQIXrcdU8//QMSAeTt7ba33UJ1tojGOi5jEWr7x/Srtq6rYDBiIQJ89Bbuc/jeFJsAhLGz0ZCfhFMBUWISx+Hckh4vTUVxQkpms9TzXdey9qZwRJoMEz0t9ndC8fjhsLMIQGxWLsVKyam4N7lRWHx/FLqfyubujEjJwWb7r8G7x+p1yWQHKrftt7a3PptZahs6uIkPyIiIh0xGElEREJCVWqSKNqEKmMxUgZOifQ00p5NarKGwvXeBJLZKHpNxb/eg9o2c0CZk4FmaLlep4iZuSmqMjoDfbaoLXEaCElSXhPPlWi1AJFAhYPatQbDsWSoL0lGO34wpRdbj3yMnTtK0XZ+sHxvQmIi3vz4ZZgSrrQBR7tJyHcEIyXE5UxGQv58mPLnIT5vGiRjrHN717U/tU5eiOQM7UCDYWp+m7kHxCorKwEgLNoYINb/nqjvglGShDOQlQznb1tO8iMiItIfg5FERCQkVKUmiaJNKGd1R8rAKZFeRuKzSTRrKBzvTaDZmqIBtNo2s6bju9OaoeV+nUoMEpCRnKDqPQJdQ/TgudaQBCKBwUDkhHQTLrSbhbMYRaoF5KSZhNainJWboun55y8gvWhyRkDZt4GQZRnHjh1DaWkpSkpK8Mknn8Bq9bxflt5efOfZP2L61dc5z83RbhInXwtDfBIS8ufCaFJe/1Hr5AWl7/zxuk7c/sp+lP7jMsTFGISPGyqBBsOi6bfZcDxThvP+cZIfERGR/hiMJCIiIaEqNUkUbUI5mBFuay0RBRufTb4N173xV44x0GxNNWsEajm+XtSWQNUyISXQNURDxXEem+5fgAf/9IXQe4tUC+gbsOO7v9uvGIh84Y45WD1/HIwGSVN5YG8B6dZuK25/Zb9ipp/WcsTeNDQ0oLS01Pl/TU1NQvt9cWAvqmInOM9t0/0Lvm43gHH6ElXnoCXQJPJdqG0zo/jXe/H2Y9eHXYakHsGwSP1t5t5+TyuULAWC80wZrvsXTYHkUNGzzyMioujEYCQREQkJValJomgT6sGMcFpriSjY+GzybTjujVI5xpw0U0CZNWrWCNRyfL2oKYGqdUKK2mdL34Adt79yALVtvarex1FiNc0Ugy7LgPC9dz8PR0DhNzvP4MWdZ/zuKxKcfXn3GZj77Yrn8eqnVRiTHIeZuWnOYKjWUqE2u4zdFU348VvHPNbOdM++3XT/Anx/6yGcqO8acowPjtZjVm4Ktq67Vjjw9otf/AL//M//LLTtIAlxOVOQkF+ExMLrhpzbg3/6YkhgWM33SUugSTybuTds1/fVIxgWab/NvPXlIoL1vB2u+xepgeThEMnlmImIKHQYjCQiIiFcN4NIOw5mEAUHn02+hfreiJRgrWrtCSizRs0agVqOrxc1GZyBTEgRfbY4Mvkc5WtFJcUbsXxqFr47fxxsdhkP/vlLxX2uLRiDGKPk9TyMBgnrV0zBzoqmgKsFvPVVndA1nG7qxrqtX8IUa4BlYDB46d42T9R1YsWv9mJGTgoyUhK8ZvKIZpU6sm9vf2U/Ll6yeN3mRH0X1mz6DB8+eYPzPex2O2w2G2JjYz22nzdvnuJ1GlMzYSqYj4T8IiRMmAujKcXnuZ2q7/RoNzWtvajvMPtd21NLoEnNdyGc1/eNtGBiIHz15SKi8Xk7kj57rQItwU5ERCMHg5FERCSE62YQBYaDGUT647PJt1DfG5ESrD1WmzPTzhd/AQ+laxIRikxZ0QzOawvG4PWHvhHQ4KzSs8UxSKw2EOmeyWKzy0Ltyf16bHYZuyqahpTt+/7iAmz6tBon6rVXC+ix9qu6Hn9ZlDKADnM/Dla1+yy3qmYNUAA+A5EO5Y3d+Osnx2CpPeIsvfrLX/4S9913n8e204sWwhATB/tAn/NvUpwJCePnwFRQhIT8IsSMzoUkKbcj18xg13azq6IJ67b6DzZrCTSpyWaOtvV9I5XaMtMOI/l5O9IFWoKdiIhGDgYjiYhICNfNICKicMNnk2+hvjci5Rgl+A9EAv4DHkrXNCE9UbEMaSgyd0QzOB9dOinobVNtYCEjOQ6/vGOuR9a+lvbkr2zfrNwUvHj3POwqb9ZULSApPhYd5gF1N0OAt0wercEZj2P3W2C9cBLmmjJYqstw9/+pHfJ6aWmpRzDSZpfxg78cR/xVs2Cz9HwdfJyH+NxpkIzqh3N8ZQYHa/KCmmzmkbq+b7hRU2Ya4POWxNoMJxsQERHAYCQREanAUpNERBRu+GzyLZT3RqQco4zB0p/mPpvmgIe/a1o0OQO3v7J/2DNlwylj952y+sEgsMC2kgRcPynD52CxmvakVLbvVEMX/vhpleayfd+7Og8v7Tyrej9Rjkye3+w8gze/vKDpGLJsR39zNczVZbDUlMFy8SRg8x1ALS0thd1uh8FgcP7NEQjNvOM5SAajpvNw5SszOFiTFxZPzhSaJODv3MKRzS5j7+nmIRm/3sr7RiLR0roZyXGYOjaFz1sSajOcbBDd/QYRkSgGI4mISBWWmiQionDDZ5Nvobo3IuUYDRKweFIG6jvMAQU8/F2T2oBKMAYHwyljt63bKhSIBAazVpWyRkXbU7DL9j1+4xS8+kmV3/Krenhx5xlV28t2G3pO7h4MQNYegb23Q3jf3t5enD9/Hvn5+c6/OTOOdAhEAv4zg0WDzaLfGUdmrEggUuncwom/jF/38saRSLQvv35SBjbcUxS6E6OwJdpmImWyQTBEe79BRCSKwUgiIiIiIiIKiEg5RrsM3L1wPG4ozAxatqaa7L1gDg4GKyvVZpexu6IJr35ajaqWbgDAxMxkPLxkIm6c5hlATVdx/knxRt2yNYNdti8uxoD3nliM2367L+gBSTUkgwEd+/4LA52tyttKBlx77UKsXLkSxcXFuPbaaxEbGztkG9EsNaFzE8jIVQo2i35n1K6zGSnrDSpl/LqW943UTCfRvjwSAscUGmwz/o2EfoOISBSDkURERERERBQQNaVJg52tKXL8UAwO6n2drd1WrNn0Gcobu93+3o5D1e2YPjYFrz147ZAAqpo1+xZPyhC6VpHMuFCU7SvMTsHR527G7/acxWsHa9HW06f5WKJk2Y6+pir0t55H8qzlHq/PzkvDpBtXYNd7b3jdPyYtGwkFRTDlz8cf/vk+rP7GVL/vJ5JxJCrQjFw13xnRdTYlaTAjN1LWGwx2xm84CKcy0xQZ2Gb8Gwn9BhGRKAYjiYiIiIiIKCDhVJpUhJbBweFc78lml7F28+cegUhX5Y1dWLv5EN574koAdfHkTGSmxKOlSznod/fC8YrbiGbGBaNsn6/7v375FKxfPgWrXt7nczA8EAOdrbDUlMFccwSWmjLYzZ2AwYjEKd+AIT7Rud3C/NHY9vB1eDOjzhmMlOISkTBhDkwF85GQX4TY0TkAgOljU3DrwkLF65uYkRjQ9STFG7F4cgbuXjA+4Mxj0e/Mb3adxtnmHqEgam6aCc+vmhUx6w0GO+M3HERaX07Dj23Gv5HQbxARiWIwkoiIiIiIiAIWrNKkwaB2cDDU6z25B6YG7DJO1Hcp7nei/koA1XHOSoFI0awVNZlxomX7xqYmYP22MsXgrsj9dx0MD4S9zwLrheOD6z7WHEF/23kvG9lguXACiZMXOv/02LLJMBokrFxZjH/6X89gnzkXdbHjILmt9zgrNxVb1y0UKhlslwFTrAGWfrvftT8d26aZYlGYnYycNJPu3zuR7wwAvLjjLJLijUJB1PyMxIgafA9Fxm84iKS+nMID24xvI6XfICISwWAkERERERER6SLYJViViGYvig4ONnZYQr7ek7fAlBrvlNXhhsJM4TX7RLNW1GSTLi3MwqzcVJxQeP9XP61SDO6quf/vPr4Y9278DJ9Xtytet4Oj9Kql+jDMNWWwXiwH7AOK+1lqypzByNl5V4K56enp+MX/fh42u+wxMH/rvFxAlvHvH5xyts/b5ubgxR1ncKrB+/VZBuxIiDXA3G933isJgAwgzRSDqdmpGJuWEPRBfzXrV/ZYbYrbqM2MDQfByPgNV8Pdl1PkYZvxbiT1G0REShiMJCIiIiKiEW84S3CSPtRkL4quxVfZ1IndFaFb78lX4E2Nth6r8Jp9T900WOJUpI2rzSZ9cEkBnnrjqOJxlYK7akvqPrJ0onAwsqdiH9pLfjdYelWQFJeIhPy5SMibAQDOtmU0SLDZZeyuaMarn1ahqmWwpO7EzGQ8vKQAs8eNwoN/+sJr+/RHlgFzvx1P3TQFVS09w5ZxpOf6lcDgcVYX5elzsBARzfiNtOsiouBhv0FEdAWDkURERERENKKFugQn6U9t9qLI4CAAdJgHsNEle88XvdZ7Eg0i+pOeFC8cOKxq6REOZqktNbezosWZwaeGe3BRbRB0aWEWZuelCq0fGZOSrhyIlAyIz52KhPwimAqKEJdTiGRTHJZPzcJ3549zBgRbu61Ys+lzlDcOLafb2t2OQ9XtQ+6Fe/tU4visNtxT5Jw4sb2sDhs/rQrZxAnR74wI0dLA4UapbUXqdRFR8LDfICK6gsFIIiIiIiIasUJdgpOCQ2323NLCLKSZYtFh7vd7XAnAuZbukK33JLounz+ri/Kw8dMq3c9Zbam5tm6r6kCk63EcwUW1QVCjQcKm+67GHT/9L5w4tG+wnOqMZUgr+qbHceJyCiHFJ0G29gz5e2r2VRg95Wr0Zs5E4oQ5QHyS89q9TVCw2WWs3XzIIxDpKpCEQsf1DefECceA+om6TuFrSYo3osdq81gHU7Q0cLgxGqQha5NGy3URUfCw3yAiuoLBSCIiIiIiGrHUBrEoPKnNnjMaJEzJSsaXtZf8Hld22TcU6z2pWZfPG0d2xfayOqGg5vGLHXji9cP47vw8xcw6taXmAinr6RpcFA2CxpnbsWnTJpSWlmLHjh1ob79SqjV9zGjcMmcdJmYm4sUdZ51/lwxGmCbMhbn2KEwT5iKhoAgJ+UX4p9uX4Ac3Tsb+s61D1nz0VRp17+lmxfUxA2GQgDGJcSGbOOGrbPUf1lyDFb/aA3O/XeicHdmjIvcwUmQkx+PdxxcLrQc6HKW+WXKcKPz46jcivT8kIlKLwUgiIiIiIhqx1AaxQoGDyeo5BtsuAAAgAElEQVSpzZ4DgJxRJki1l/xmeRkkYFJmMlq7/a9BqHW9J/fPuqatF5I0uE6gWleNNmHruoWqytB2Wgbw4bEGfHisQTGzTm2puUDKeroGd30dx27theXCcViqy2CuOYKt7Rex1cfxOquO4Fd3zILBGIOd5c1DrmHMzY/DkJAMyWB0bv/izjPYWdGELQ8sFPrev1OmT/lSX+wyMCkrCR8ca/C7jR4TJ/xlX05INwkFIh3n893543DjtKyom8hhNEhDritcSn2Hy3kQkSf3foOIaCRiMJKIiIiIiEYsLUEsvbkGpBo7zDjd1IUO84BzjTkOJisTzZ4bkxiHXRVNeKesHmebuxTLTdpl4OElE9HbN6D7ek/eAgda1lh0mHfVKGfbULNuosOJOv+ZdWpLzWk5BwfX4K7rccz1p78OPpbBWlcO2G1Cx+vq6sKufZ/h5huXDLkGADAmpnndR02mYVt38PoHR/s629wT9IkTSmWra9vMwseanTcy1kALl1Lf4XIeRERERL4wGElEREREREEVzpl+atfB05u3gJSD4185mKxMtITosboOfHCsQbh86IT0RCwpzMTc8aN0Xe/JV+AgkHUFz7Z0w2aXYTRIHoFDETKUM+vUlJrzFbxUCri6B3ddj/O3jb9Gf9sFoesxxCchIX8eEvKLkFhQhN+eAG5cYsexi5cxIT0Jl3v7ceGS7+CamkzDdB0nCPhqX09uK9M0cUJN/6tUtlpUUrxxxKyBFi6lvrWcRzg/m4mIiCj6MBhJRERERERBE+5l49Sug6cnXwEpf+fB9Su9E8nCM8UacKG9F4D4Ooa1bb24/ZX92PLAQl3Xe9Ir6OOqvKELq17e5/xOOQKH9278DJ9X+y8z6+DIrLuhMNNvkEK01Jyv4OWKaVnY+GkVTtQP7RcGLL3IG6jDlgceG3JPHce584tvYvtrG32cvBHxudOQUFAEU34R4sZOHlJ69XhdJ4p/vRe1bb3CwWjRTMNAStK6mjDGhDnjRqG9t8+jfWmZOKG2/xUpWy1i0aSMiMvg1hqYC5dS32rPI9yfzUS+MIhORBS5GIwkIiIiIqKgiISycWrXwdOTloBUqNev1FuwBhGVSohOSDepKjHpyrWd6rXek15BH3fu3ynH/4myy0BDhxmrXt6nW5DCV/Dylrm52F3eiFe3l6Liq31orfgCzedO4MLAAOz/z71AcpbHcb5/96ohwcjCwkL0jZ2FnsyZSLhqNgzxiX7PpbZNXTBatETz0sIszMpNxYn6wALMte1m/Nuts7y2MbUTJ7T0vyJlq0VUNnU6s3QjQSCBuXAo9a32PCLh2UzkDYPoRESRjcFIIiIiIiIKinApX+eP2nXw9KQlIBWsQW1/QUK9BHsQ0V8J0bcPX8SFdrOmQEsw2qleQR933s51TFKcqrUoTzd1o8vS7zye6z9P1Hfi9lcOYHZeGtp7+jQFk6urq1FaWoqSkhLs3LkTly9f9thmx44duPfeez3+vnTpUtx5550oLi5GcXExzpkTsG7rl/AfgtTOW4lmX9+VP65dgLWbD6G8sSug9/M12UDtxAkt/a9I9qWI2jZzxGRwBxqYG+5S31rOIxKezUTuGEQnIop8DEYSEREREVFQhEv5OiVq1sHTk5aAVDAGtZWChM8uGYNRpsD+0zFUg4i+svA2floVUIBF73aqV9DHG/dSjMfrOlStRdlh7vf5miwPZheeb+uFDLFgcmdnJ3bv3o2SkhKUlJTg7NmziudQWlrqNRiZlJSEN954w/m/X9hWFrT7CHiWaFb6rmxdtxDH6zqw8ZMqnGvpRqe5H3028ZPzN9lA7cQJLf2vXuVmw6FfFxVoYG44S31rPY/tZXUR8WwmcsUgOhFR5GMwkoiIiIiIgiJcyteJULMOnl60BKT0HtQWCRI+W2rFS7eM03RsRwbZ2eYulDf4zhgL9iBienK8quxAd3q3Uy1BH9Hzdy/F6FgnU0+O8/AXTP7ss8/w9NNP47PPPoPNZhM+9rRp0zBx4kShbYOVYQp4ZhqKfFce/NMXePfxxbhpejYA4N6Nn+HAuTbh91SabOBt4sSYxDhMykzG2ZZuPLmtzJmp2dqlvv8Vyb5MjDWip8//5xku/bqIQCfNDGepb63nITI5I5I+QxoZImWCGxER+cZgJBERERHRCBasNfyA8ClfF67UBqSCMagtkmlwps2Kr+p6MWO6+HG9ZZApCeYgYqAZX3q3U0fg4ERdp1CAcXpOCqZkpaCp04IvatoV72dyfIymNUm18hZMTk5Oxv79+xX3jU1Mxd9962bc8q2bUVxcjPHjxwu/bzAyTH1lGoai7KnIZAPXiROO79kHxxo8MjXTTDGq+1+R7MucNBN2lDdFTb8e6KSZUJb6Vnpei54Hn80UiSJpghsREXnHYCQRERER0QgV7DX8hrt8nbeB29vm5gKQ8d7RBt2Dr2opZbI4ODLigrF+pWimwc6qLqwRPKavDDIlwRxEXFqYhTRTDDrMA5r217udOgIHK361R/GcDBIwJSsFG+4pwq6KJnxe3a54/IrGTmw/rFyKUSu7tQeW2mMw15QhLnsSUubeDIME/H7vOWwvq0NbtxVjkuKQnpmNtpYmtwuKQXzeNJgK5iMhvwgJYydiYNxorH1AfYle0SBzZko8WrqU25Yj6OutRHOwy54qTTZw78/GJMXheF2HM/PVPVOz0zygGOj21q6VylbvPd2MklNNPo7o+7jhSo/AXChKfYs+r0XOY7ifzURaMIhORBT5GIwkIiIiIhqBQrGG33CWr/M3cAtcCfDpGXxVSymTJc0Ui8LsZOSkmbC6KA+LJmdg39kWXbNYRTMNLpvFy2xqzcgL5iCi0SChMDsFX9RcUr1vsNppRnI8ZuSk4WCV/zKerkHapYVZmJCeiNo2/6VXa9vMSIyL0S0QKdttsNafhqWmDJaaMljrKwHZDgCIHz8HKXNvhl0GPq9uH9KOLdmzgJYmxIwZB1NBERIK5iPhqlkwxJmuHBvaS/SKBPQnpJvwPz9cijv/cECxL/LX32nJyhGdcAD4n2zgrT9TKtvreM3Xdv7atb+y1eFSllQvegXmglnqW+3zWuk8ou0zpJGBQXQiosjHYCQRERER0QikpeSgWqEsX+dKaeAWEFvzLhREM1lau624/ZX9umexjkmKUwxqGCRglMkofEyRDDJvgj2IODbNBIN0Sfi8HPclMc6InDQT9p5u1j2DNiNFXaaH0SBhanaKYjBSAtDcGViWaf/lRliqD8NcUwZL7THI1h6v21kvnoK9zwJDXAKAod+3tOvvxqgl/4CYVP9BDW8lekVKSCv1MY7vhinOGHBfpCUrx9f5SRIgy0BSvBGLJ2Xg7oXjfWbQ+erPRJqxBCDVFIsOc79u/e9w9evBEgmBOb2f19H2GdLIEAnfVSIi8o/BSCIiIiKiEUhLyUEtQlG+zp2WzDw9gq9aKWWyBCuLtbXbiuN1HUKlHFdMTPG7jWvg6JPTzaoDkaEYRBQtmTl//ChUNnWhx2qDJAE9VhtKy5tQcqoJSXFGLJqcgbsXXqVLYFJLpke3VbnUrAygradP1bnYLd2wnD8Gc/Vg9uPA5UbBHQdgvXACpknXeLwUOzpH7BBuGYVqSkiL9jGB9kVas3ICfd9A1v6UAczMTcFDSybp2v8OR78eLJEQmAvG8zqQzzCYa00T+RIJ31UiIvKPwUgiIiIiohFIS8lBrYJZvs4brZl5egRfgyEYWayOAKdjvTl/pqTH4+q8RJ+vewsciQrlIKJIVsXMnBT0Ddhh7hssSys7stC+/mdPnw0lpwYDk3qU9tWS6SGSoadF81v/Bmt9hfD2senjkVBQBFP+PMRfNSug93bNKNQSfBftYwLpiwLJygnkfbX2Z8Dgfc1ITghK/xvqfj2Ywj24GqzntZbPMNhrTRP5E+7fVSIi8o/BSCIiIiKiEUhLycFIITJw641ewVe9BSMrRjTbakK6Cc8XZ/sc4PMVOBIxPScFU7JSQjaIKJJV8f3FE/HUG0eEjqdHaV8tmR6iGZ7uZFnGQEcTYkeNdf7Nde3UhAlz/QYjDaZUJOQPBh8T8osQk5qh+hx8cc0oDEUJaS2GKytHa38GcP00NcI5uBouz+tQrDVNpCScv6tEROQfg5FERERERCOQ1pKDkUBr5thwBV+VSt4FIytGJMApScCcvFEYZfL9n41aSkhKAGbmpuK9J/wPWAejFKBrVsX2wxdxtqUbneYBpJpiMCE9Ca8fOi/cdvQKiqnN9FDK0HNls3TDUnsUFkfp1Y4m5D6yCYvmTccjN0zCe0frne83aea9eOrgG859Y2PjkF04FxlTF8CaPRM9KVdBkgyar9MX94zCUJWQVsO1LSbHx+LagjEAAKNhMPMwmAF1rf0Z10+LHuHyvA7XiQJEREQUGYSCkdOnT9ftDSVJwqlTp3Q7HhERERERqRdIycFwpzVzbDiCryIl74KRFSMS4JRloL23D0CSz220lJCUAdjsdlzq7fMo5+cI+vzl0AXsP9c6uG4jrmTv6VEK0GiQMHtcGv6ztBLlDV0wSEDdZaCysUvX0r5qgqlqMj38ZejZBgZgra+ApeYIzNVl6Gs8A8j2Iftbasogz5uOZdOyIBkGP8PWbisGEsZi2pwirLzxBnzz5ptxww03IClp8LNfv60MHx2rD6g07IT0RNS29SpmFIayhLQIX99RuwzMzkvFhntmBLUspWh/JkmD31munxZ9wuV5HY4TBYiIiChyCAUjZTmA/+IgIiIiIqKwM1wlB0NBTeaYw3AEX0VL3v1wRaHuWTF6BTi1lpCsbOr2KOfnGvRx5Ti8XqUAle67Gr6CYsFeV82RTbm3shlb/u9BVHy1D22VX6L+5BcYsPhfB9RSXYbKxu/gtt9+ihP1XUO/+9/6KaryUrFgyUIkuXz2WgP8wJXv1tuPLcL+s62K2Z/hUpISCI+ylCL92YR0E+bkjUJ7bx/XT4tC4fK8DreJAkRERBRZhIKR//Ef/+H17319fXj11VdRV1eHsWPHYtmyZZg4cSJMJhPMZjOqqqqwZ88eNDY2Yty4cXj44YcRGxur6wUQEREREZE2astDRgqlgVtg6Fp5wxV8FS15JwG6Z8WoK/t3yec2WktIupfzcw/6qNlXLS2lZX3xFhRTE8BynI/aUrRVVVX4+c9/jpKSEtTW1oqfsHHwv8c7LQM4Wd/l9fxO1HVixa/2YkZOCjJSErC6KBeLJ2didl4qTtR1QvSjdv9uxcUYhLI/w6UkJRAeZSmV+jM9gttKglEymdQJh+d1OE0UICIiosgjFIxcvXq1x98GBgawdu1aNDY24umnn8YDDzwAo9HosZ3NZsPmzZvx61//Gu+//z62bt0a8EkTEREREZE+1JSHjCS+Bm5vnZcLScaQtfKGK/j6Tlm9Myjqi4TBc9U7K0ZN2b+zZ3wHIwPJmHMt56c2QKi1FKDNLuP3e6vUnqpP3oJiogGsD4/WY9O+Kk3ZkwaDARs3bhQ6x9jMfCTkz4MpvwjxV82EITYBgO92JwPoMPfjYFX7kPP51Z3z8NCfv0Btm1nxPVMTYjA9JxUPL5mIZdPEAlaOgNf2w3VIjDWgt9/udbtQZjGHS1nK4QxEBTvLl8QN9/M6nCYKEBERUeQRCkZ686c//QlfffUVvv/97+PBBx/0uZ3RaMRDDz2Ey5cvY/PmzdiyZQseeughrW9LRERERBRyzAqJTP4GblfMyB6GMxqqtcuimGUmA2jttugejNCr7J+WkrgOruX81K49qaUUoK8ysFr5CoqJXIsE4P99/yS6LP0AhmYnyrKMIyfKseyBt/GT71yN++5b47F/fn4+pkyZgjNnzni8ZkgcBVNBERLy5yFhwjzEpKRrvkbXbM4fv3kEs3JH4Xy7GUoruXRaBvB5dTt6+wYwd/woxWCV62ejFKCflp0c1Cxm1/7+k9PNYVOWcjgCUeFQpjaSRdtvh3BZu5KIolu09Z1EdIXmYOT7778PALjjjjuEtv/e976HP/7xj/jggw8YjCQiIiKiiMGsEAoWm2DgzfZ1gpjewQg9Apy+gpqixiTGAVC/9qTaUoBqysAqkSRA9hOwFbkWR/ah8/zMXbDUHoWl+jDMNWWwdbbgIoD/XTHPazASAFauXIkzZ84gPj4eN9xwA1rSpqIppRCxmfmQJEOAVzmUI5tzwC4rBiJdiQSr3D8bpcMbDAaM/rrd6M1bf68kmstShkOZ2kgVjb8dwmXtSiKKXtHYdxLRFZqDkefPnwcAjBo1Smh7x3YXLlzQ+pZERERERCHFrBCKZt5mnq8qylWdaektqNnSZcXppm7FfSdlJcNmlzGgMq1SbSlAPdeJzE0z4flVs3zeJ5F11WRbP6x1FTDXHIGl5jD6Gs7CWxiu8uRRtLa2IiMjw+O1Rx99FLfddhsWL14Mk8mE9dvK8NGxetUZqqIMEtBpHlCdwaoUrFL72Zys78QHx+qxap6+pSB99fdKorkspdoytcxmGRTNvx3CYe1KIopO0dx3EtEgzcHIuLg4WCwWlJeX47rrrlPcvry83LkfEREREVEkYFYIBZNREhtICcaAi94zz92zNp94/bBQMPJUfQdWvbxPVTBKSylAtWVg/cnPSPT7fb9true6arIsY6D9IszVZbDUlMFy/jjkfovym8kydu7cibvuusvjpVmzZmHWrFnO/x3I+p0i7DLQZelXfQ+V1lTU8tk8994JfGdOrqbvhq+Amd0uqw5YR3tZSpEsX0eZWmazXBHtvx2Ge+1KIopO0d53ElEAwchZs2Zh//79eOGFF/Daa68hMTHR57a9vb345S9/CUmSMHv2bK1vSUREREQUUmqzQojUyEhRzqAzSNB9AL9vwI7bXzmA2rZeAMGZed7W3Se03f5zbTD32VQdW0spQLVlYH0RK8np+UatH7yA3vK9wu8jxcQhftxMXH39Ulx77bVC+4iu3zkzNxV2ux2VTd2q70mnZUDdDlBeU1HLZ9NhHhAejHQNPjZcNuNMczc6zP0eAbM0U6ziepUOI6UspUiWr0EaLLfMbJYr+NuBiEg99p1E0U9zMPKBBx7A/v37cerUKdxxxx1Yv349li1bBpPJ5NzGbDZjz549+M1vfoOqqipIkoR169bpcuJERERERMGmJiuEolewSg+KZLLpXQKytduK21/Zj9o2s9/3DGTmeWu3FacaOhS3kwD0WMUCkUnxRiyelIG7F47XVApQJKgiwt/n0dfXh9jYWLx7xPMzjcueqBiMjM0qgCm/CAn5RYgfNwOG2Hj8dO0C5OeLfQbu67m5B9bSTDH499tm4TtzcnGpt0/zOp9qKQVwxyTFCQcBXYkMRrpm67m/h3vAzHUNT3/STLFYWpg5IspSivZRk7KS8MGxBr/bjKRsFv52ICJSj30nUfTTHIxcvHgxnnzySWzYsAHV1dX40Y9+BIPBgOzsbJhMJpjNZjQ1NcFut0P+eoX79evX4/rrr9ft5ImIiIiIgkk0K0Q5U2r4cS0vbYJZelApk03vEpCOtXj8BSIdtM48d7xHp1k5g07G4DXKCgNPU7OTMSU7Be09fdheVgcZsup2q0cJU/fPQ5ZlVFRUoKSkBKWlpdizZw8OHDiAcy2e5WlN+UW4jC1D/mZMGg1TQRHi84tgmjAPxuTRXt/L13d38eRM7Dvb4vH3tx9bhP1nW/2u5+a+7ltrtxUn6zvQaR5QHRRU4i+A29ptxfG6Dk3vqTQY6b72lB7XZZCApYWZ2HBPkQ5HC3+ifdTZ5h5ms7iIpt8OREShwr6TKPppDkYCwA9+8ANMnToVv/jFL1BbWwubzYb6es//wMvPz8dPfvITLF++PJC3IyIiohBgwILoiuHIXAsGrQG1kd4fuAcz9C496J7J5vrZBKMEpNJaPK68zTwXaQ+i7yEBSIw3CmVGVjZ140xzd0CBYNESpv7Myk3FC9+ZiLfefMMZgLx48eKQbUpKStAxMN9j39isfBjTshE7Jm8w+7GgCFdNnIqs1Hi/n723DEbHPTDFGmDut/v8TisFfdzXffPWTwTKX0Dd8f260N6r/rhQHoxU095FRUJ/ryfRPurJbWXMZnERLb8diIhCiX0nUfQLKBgJACtWrMCKFStw9OhRlJWVoa6uDmazGSaTCXl5eSgqKsLcuXP1OFciIiIKsmBmABFFolBnrgWD1oBaa7cVazd/jhP1XUOO98HReszKTcHWdddGfX+gFMzQo/Sge4aar0w2PYisxePgPvP8snkAq17ep/h8EH2PVFMsri0Yg9JTTUIZa4EGgn0FVZQyM+WBfljryjELNWjY8RWm//Cws/KPNyUlJUj99kK4D6VJkgF5j2yEJBmcfxuTHOf3sweAVS/v8/ndNffbdbk3Dt7aYmVjF1oF1v9M+jqwrCagHkiwUIbyYKSa9i4iEvr7YBDpo5jNMlQ0/HYgIgo19p1E0S/gYKTD3LlzGXQkIiKKYMHOACKKRKHOXAsGLQE1m13Gmk2fobzRs9wkAJyo78KaTZ/hwydv+P/Zu/PoqOr7f/zPO5NlEpIQyIKEfV9FgiAiIPvYWhTUA360VaxbtaBfu/ystX7UVlt//fhtXSpuoBUr1eoHRdwTVtnXQBogYUuAJCQhCZB1sszc7x/pDElmue97587MncnzcU6PNHPn3jt3ed+Z+7yv99vQn91fImGGHl0Pdq5QCxSRsXic2j95bnfIeCr7HE5WN7lea//f9tcH0WWMyUjEf13TD1lHytV+DNey1QbBnkKVbjFR2FxQgWb75ZW22+pQ/+8NaCw6gKazeZBbmiC6lidPnsQNqXHIL6t1e619EAkAQ9MSfO77jfnlmsI6f0LyzuvzyIc5+Cq3VPEcmD0iHbdO6KsqUNcaForejFRzvDuZJCDREoVLja1h2d4HilIbxWqWjiLhuwMRUbCx7SSKfLqFkURERBTeglEBRBSOglm5FghaArVN+eVeg0ino2V12JxfgTmje+m5uoYiEmaEU9eDItVLTnHRJozOSAIA7CtpwPEq75+x/fVBtEIqNcGCGcPTEW2W0GJXmRi1m49oEOypi9mfXjcQL68/jpbOK+uw48LGlRAZZTAuLg4zZsyA1WrFvHnzMGbMGGwqqMDXeRWK7711Ql+fr/tT2afX+HyiIdOtE/qqDtTVhoVqb0aqOd6dHDLwl8XjYZaksGzvQ4XVLO7C/bsDEVEosO0kimy6hJFNTU3YunUrDh8+jOrqarS0tOBPf/qT6/WWlhbU19fDbDYjMTFRj0USERGRzoJVAUSkxIjjFAarci0QtARqb28tFJr321tPRXQYGWldD4oES062FgfuX7UXa5dOw8aTtcLXBzUVUmaTBEu0GS32VjUfo8N8fAXBzrbkoz1nsf1kJeqb7JAAOFpb0FxyBP/6Xxvih012e585vjtirhiC5rITHucb02sI4gZlInZgJq6edA3ef3B6hy6LncFMXkmN1zjzyj6Bqexz0iskH5PR3TU2pSeSBIzpnQS7w4FHPsxR1WaLnF+SBGR0j8PA1HjVNyPVHO/OZY3NSMKsEemuNp/EsJrFs3D+7kBEFCpsO4kil99h5IcffohXXnkFly5dAgDIsgxJkjqEkRUVFbBarZAkCRs3bkR6OhsTIiIio4m0CiAKTxy3VH9aArVT531XRTqdFJxOlNGC6HDpelB0uylVL7Un43K140WbXfj6oLZCKtESjVqbtjDSVxDcvi2RZRktlWdgK8pBY2FOW9errU2I6tnXYxgJAJaB411hpDkhBZaBmYgblAnLgKtg7pbsmi7/fJNbF+ZKwYyzLQtEZZ/IthFld8i4f9Ve2LwEkQAQazah1W7H/e/vV91mi5xfsgw8v3CsphuSosd7Vw/M9MJqFiIiIiLyxa8w8sUXX8S7774LWZYRHx+PQYMG4fDhw27T9enTB9OnT8eWLVvwzTffYMmSJf4sloiIiAIg0iqAKPxw3NLACJdAzYhBdDh0Pahmu3UOyZQ4qx2TLWbh64PaCqlFV/fBKxs8VyAq8Xbc2h0y7nz1OxzctRUNhTmwFeXAXlftNl1rdTFaayoQleQedHUbeT3M8T1gGZSJ6JR+kCTPbY63Lsz1CGbUVvZ1Xi+153TnULvVISseJ7ZWBwrK613LbP9fpTY70OeXt2NRQlvY3j0uCiN6JeGK7hYGZjphNQsREREReaM5jNy9ezfeeecdSJKEZcuW4cEHH0RLSwuuvvpqj9NbrVZs3rwZO3fuZBhJRERkQOESWFDk4rilgaHlhv/gtARUeghvOhuSlqDLOho1iDZ614NatpszJJv/t604eq7W5/yd1Y43DEnE5kLfVbDtrw9qgrils4bh7e9Pee0G1JvOx63NZsP27duRlZWFT7/4GieO5gnNp7HwIBKvsrr9PabXYMT0Giw0D29dmPsbzKipZG1PS4jnKdQW5W1SpTY7GOcXq/WIiIiIiIxBcxi5evVqAMDtt9+OZcuWAQBaW713rzNmzBgAwPHjx7UukoiIiAIoHCqAKLJx3NLA0HLD/8Hpg7GnUDmMfOB6sbBGiZGDaCOHGVq3m9kkYWh6IgrKaoWqHSf2icOwlFicrPbcnXf764OnLmPvmzbIa1e7MVEmfL5sGha8ts1jIOmsYvN13D733HN44YUX0NjY6GtzdWBOSPlP1WNf4fd4E6guzNVWsjqpDfG8hdp6kOC7zQ7G+cVqPSIiIiKi0NMcRh44cACSJOGOO+4Qmj4tre3GZVVVldZFEhERkY683TBeubUQeaXGqwAiMUYbc08NjlsaOGpv+M8amY5RVyTiaJn3yrlRVyRi1ojLN/f9OfY+yyl1hU7ehDKINmqYIRLgA8CbW0667Wc11fBm6QKen9cbz2+t9hloX2ho1tTV7pC0BLxy+3j83+xjOF3VAIcsI8kSjR9f2x8PzxiK7ScrseL7U64xSgenJeDB6YPQIz4GQNtvTbtarpwAACAASURBVKUgUoqOhaXflbAMykTcwAmISunrtetVtQLZhbnz3P3BS1tw/Hy94vSjeyd5rCD2dX4qhdr+kAFU1tnc/h7Ia1U4XweJiIiIiCKV5jDy4sWLAICMjAyh6U0mEwDA4VDX/Q4RERHpz9cYY2MzEvHyf43HxqMVhqoAImVGHHNPDY5bGlhqAjWzScI/7p+Me97dg7xS95BibEYS3rv38sMJ/h575y42+gwiAQbRnogE+ACwu7AaC5dv67Af1FTDnzh+AclxUT4DbQBYuHyb6q52vR07VfXNWJ97Fj0u5OP5tz7C2bzdSLU+jJg+o1FdX409hdWuY8tqde9mFZAQc8VQWAaOR9ygTMRmjIIUFS28bdXQuwvzzmFaz24xKLnkHuh5UlFrw2P/OtghfFM6P3t3j1PdNau6z9Px/wfyWhXu10EiIiIiokilOYxMTEzExYsXcenSJSQmJipOX1JSAgDo2bOn1kUSERGRDpTGGDtyrhbvbD0V9LHZyD9GHXNPDY5bGjwilUOpCbH4fJlyNaW/x57dIeN4he/xCIG27h5DHUQbreJKJMB36rwftHTf6yvQ3phfrrrL2M7Hjt0ho+V8ERoLc2ArysGZ4sP4prXZNY+GUzmI6TPa47E1ePBgNDc3Y+w107GvtR8sA66COb67yGb0i95dmHsK05Sqhju+vxlf5Za6wreVSybh/lV7fZ6fpyrrAxZEdhbIa1UkXAeJiIiIiCKV5jBy2LBh2Lt3L3bv3o2+fZXH2cjKygIAjB07VusiA27fvn34yU9+Allu+7Xy/vvvY/LkyV6nLy8vx7vvvotNmzahrKwM8fHxGDVqFBYvXowf/vCHQsv85ptv8PHHH+Po0aNoaGhA7969MXPmTNx7773o1auX4vv1WAciIupajDw2G2kXCfuV45YGh5rKIZFqSn+PvS3HKnCpsUVxvWWEJoh2BpAf7TmL7ScrUd9k7zCOYTAqrryFoAuu6q0Y4Dt52g96jtenZczXLccqcLDgNBqL2sJHW9FB2OsveH1/Y9EBJE//scfPtGvXLqSmpuLRjw6iILdUt3DNJAFX9umOoqoGXGpsCWgX5t7CNLUfpX34tvitHThd5b0LW4eMtmNaAuQABZLtt00gr1WRcB0UYbSHIoiIiIiIRGgOI2+44Qbs2bMHr7/+OmbPno0ePXp4nTY/Px/vv/8+JEnCjTfeqHWRAdXS0oJnn33WFUQqycnJwUMPPeTqrhYAmpqasGPHDuzYsQObNm3Cn//8Z6/jkDgcDvzmN7/BunXrOvy9qKgI7733Hj7//HO8+eabGD9+fMDWgYiIuiYtN4zJ+CJhv2qp1CJ1AlE55O+x9+mBEqHlJFnMAQuiPXWLOSStG46cq8WO/wSQ7Tk/ajAqrnx3q52EUVckoKC8Tih887Qf9BoPU3TM1/OX6pGVlYWsrCy898k6VJ05LryM5rITcDQ1wBQb7/qb6zPdkSm8HkDb53Y4ZMWgTwbgkGXs/d1cbD9R6Xdo64veYzc6ZOB0VaNi0CghcEGkSUKHkD6Q16pIuA4qYTe0RERERBSuNIeRixcvxj/+8Q+cPn0aCxcuxBNPPOEWnJ07dw7ffPMNXn/9ddhsNowePdqw1Xrvvvsujh8/jr59+6K4uNjntFVVVVi6dCkuXryI5ORk/O53v8OUKVNQW1uLDz74AKtXr8bnn3+O/v37Y9myZR7n8frrr7uCyB/+8Id46KGHkJ6ejpycHPzxj39ESUkJli5dinXr1iElJSUg60BERF2T6A1jjs0WXiJlv+pZqUXuAlE55O+xd0Kgi1YAuCIpLiD739PNfbX8qbiyO2Rsyq/A21tP4dT5tm0xOC0BD04fhOuHpyt0q12DEb0SMbp3IvJKa4XWM1BtgOiYr91jJcyfPx8tLcrVsABgTkxD3KBMWAZmwjLwqg5BJOD+mUTXY+7IdJRealQM/+T/7NvtJypdoa0zvP40pwQrtp7SrTJNJEzTQilolAF0izWjsdnutSo9yRKFWlur6nXr3LV2IK9VkXId9Ibd0BIRERFRONMcRkZHR2PFihVYsmQJSktL8ctf/hKSJLmq8MaOHQu7ve0JYlmW0bdvX7z22muGrNI7e/YsXn/9dXTr1g2PPfYYfv3rX/uc/q233kJVVRVMJhPeeustVwiblpaGp59+Gg6HAx9++CFWrFiB22+/HWlpHZ/grqiowIoVKwAAM2fOxEsvveTaLnPmzMHw4cNx8803o7KyEm+//TZ++9vf6r4ORETUdYneqA312GykTiTtV70qtSKFt6q9k+frUV3frCoICUTlkL/HXo2tVWg59c125Yk6UerO0NvNfS0kAJ8eKBbabs4AcvnmE8g9exH2TsutrKvGnsJq9O1hQfEFm9f5OGTgaFktVi6ZiBXfn8Luwmqfyw1kG9B+zNfWumq0XiyDpe9ot/W9fcowFEydis2bN3ucjxQTB0v/K2EZmIm4gZmI6tnH52/Izp9JdOzZ/7qmP64fnoY7VuzCHoXtJgF4c8tJfJpTgrJLjThWXotLja26d9crWtWpN5METBuS6gpnPVWlW6LN2FvkvQtdTzx1rR3Ia1UkXQc92aRhXFYiIiIiIqPQHEYCQL9+/bB27Vr89a9/xdq1a2GzXf6h3NradlMhKioKt956K371q1+he/fu/q1tgDz33HOw2Wx44oknkJ7u+0t7c3Mz1qxZA6AtOPTUjeqjjz6K//3f/4XNZsPatWvxwAMPdHi9/bb6xS9+4fbjul+/fli0aBFWrVqFNWvW4Ne//jWio6N1XQciIuq6RG/UhmJsNtKO+zUyiVTtqQlCAlE55O+xl2SJgsioh0kWdT9dRLozzC2+qFu3mDKAjQUVqKxr8rkPKuuacNfK3ThaplzJ6CuIdDJJwLqDpfjZjMGKYWSg2oCGhgbYCnNg3vM+zubtRsv50zAn9ESfn69y/dZpH0xZrdZ2YaSEmN7DEDcwE5ZBmYjNGAHJHO11WUqfSc3Ys2aThCiBCjIZwO7CardzsHN3vXklNbjtje24sk+y8IMC7QPzY+XKx4RazsDUl/bhrLeq9Mf+dRAm6YJwd8DeutYO5LUqkq+DlXVN+NUnuYrThXs3tEREREQUufwKIwEgKSkJzz77LB5//HEcPHgQhYWFqK2tRVxcHPr164dJkyYhMTFRj3UNiG+//RZbtmzB8OHDcdddd2H//v0+p9+/fz/q6tq6T7rhhhs8TtOzZ09MmjTJNW5j5yDQ+cN74MCBGDlypMd53HDDDVi1ahVqa2uxb98+TJkyRdd1ICKirkvNjVoKH/7sV6XqMQoN0ao9NV30iVQOAUBBWS0e+TBH6Djwt01JsogFT4lx4gGVaHeGA1K66dotZn2T3ec+sDtk3PPuHqEgUpQzPFbaDwDQPS4Kb39/Cp/mlPh1jjscDuTm5rrGfty6dSuam5s7TGOvq0ZL5RlY0ge4BVM/+tGPUFhYiLlz5+GdU/E4fsn7PoiLNqGp1SF8bKkde1b0nACUp5HRNkbjmepGyAJj+WntItg5BqTSWJDOdRqQEo+z1Q1C4ay3qnSRoA8ARvVOxLD0RK9da4u2F1OHpmJjfrmq61Kkfr9xtmeXGpW7Ng7nbmiJiIiIKLL5HUY6xcfH47rrrsN1112n1ywDrq6uDn/84x8BAM888wyiopQ3x+HDh13/vuqqq7xON27cOOzYsQNHjx7t8HdZll1/GzdunNf3X3nllTCbzbDb7Thy5EiHMNLfdSAioq5N7Y1aI2OIdpnW/SpSPaa1y0Hyj9L4jp05u+i7c8Uu/GzGYI/ngWigUFnXjK9yS4WOA7XHXufz9sR5sTEj1ZzRomNjtjpk3bvF9NVN4pZjFcgr1acS08nZ7aS3/dC+Mq7W1oqdp6o0nePl5eXYtWsXsrKykJ2djfPnzyu+p3f9MUwdN8UtmBo3bhzefvttAMBsL22QQwau7JOEvywej199fFBVu6Zm7FnRc0INZ0Do7UGBtm56y/GrT3JdAZPocTggJQ7j+iSjuqEZPeNjkFtyEWeqGj1WPzrDt5VLJuH+VXv9uuaLBn1K4xWKtBd/WTwet72xXfV1KZK+37Sn5loQzt3QEhEREVFk0xxGvvbaawCAhx56SCjEk2UZy5cvhyRJWLp0qdbF6urll19GRUUFFixYgIkTJwq9p7CwEABgMpmQkZHhdbq+ffsCaOuyqLy8HL169QLQ9iO+oaEBQFt3rN7ExMQgLS0NZWVlrmXqtQ5ERERqbtQaFUM0d2r3a1uV1m4cLm2r0vJWPaZ0c5kCQ2R8R092F1Zjd2G1x/NApHrOSc1xIHrsaa0EAwCzSXxa0bExaxpbda2MdM7XWzeJn+XoG3oBHbud7LwfKutsOFxai5rGFsjQdo5/9NFHePrpp3H8+HHhdTKZTLjmmmuw7KZJ+PEdmT6nFTl2tFyvRMeeVXNOaNV+LL8r+3Z3nQOi2oeznc9pb9fC9uGbHtd8f4I+Tw8O/Z85wyEB+PxQaYf1mTo0Fbe9sV2xqtnbMRsJ3286U3MtCNduaImIiIgo8vkVRkqShPvuu08ojHQ4HK73GCGMPHz4MP75z38iMTERjz/+uPD7Ll68CKCte1pfnzslJcX17wsXLriCQOf7gbauVH1JSUlBWVlZh/fosQ5q2e12FBQUaHpvV+AMl7mNiCgcZUjA0gnxAOL/85cLOHH8QihXSVFDQwPsDhnL3tiKE1VtXZF1vlmZV1KDO97Yilfm9w3LG4/+Et2vG07WIK/Ue3eRzhvo/9yYg2v6dQvMypJXZyvExmfzxtt58NT0nngquwnHq5qEbnCrOQ58HXt2h4z/82Wx23krQgIQIzcLf98S2XYOGYiR7LoHUA4ZOFNxweO6nq3Qv32NNUtItVehoODyvJ37YfdZGTtOeh9HUmTfFhcXCwWRffr0wbRp03DtlOsQ238cdldI+KTSjuy3tmD2kERM7BPvsz32duzYHTL2lTRg48laXLTZkWwxY2JaDHrJ1bpdrzydE4EIqd/bcgSlNa2uc0BEcpwZ43vHYc7gRFzdJx5VJUWo6jTNn+emYX9JN2w4VYuLjXYkx5k9Tq/HNV90WU4XG1vxVPY5t237xaFSDEuJxfPzeiM57vL6fLS5WKiqWak9CsfvN96ouRYMS4lFL7m6Q3tA4Yn3GYiIgovtLpFvdrsdZrPZr3no1k1rOHE4HHj66adht9vx2GOPITU1Vfi9jY2NAIDYWN+VFhaLxfVvZ2PW+d9K83C+3v49eqwDERFRuMspa7tp7I0M4HhVE/aXNDBE88LukPH6rkrF6SQAG07VcjuGQLLF7Fcg4u08SI6Lwivz+2J/SQM2nKrFwdJGXLTZfc7LJPl/HOwrafB53voiA5gzWHwcepFtZ5KA/snRiDJJOFHV5LGbSy1MUluA5G299NZkl3HwXKPHfbPxZK3P7dBaW4mmooN4ZuO/8czSu3Dttde6TTM6c5LH90oxcUgdNgFLbp6FeTOno3///rhks7cFT7vrOwRPmwvr2gVP4j9BvQVZWufnTedzwhmyVdW34nCFTZdQ0iEDZy62oPBCs/LE7QxMjsFvZ1zhcxqzScI1/boFpZ1Wsyy7Q8ZT2ee8Pjh0oqoJT2Wf6/DAhNIxC+jTHoUT0WtBQowJz8/r3SUfwiIiIiIi4wtaGFlb2/bUfXR0dLAW6dXq1auRl5eH0aNH44477gj16hie2WzGiBEjQr0ahuV8YobbiMh4OJ5gZCooKMD2YuUuHk0SsPe8hLvmsn32ZGN+OeqaTypOJwNoMcXyOhcCd8vJ2Fy4z695+DoPRo8C7gJw54pd2HGycz1TRw7Z/+PgtQM5msJV51h0d87O9DruZOf2XWTbOWTgnhmjO3Sb6W39JKltHEBLlAm2VofifJdcPwojRrh3D6rHPu3M1z5u/v4CHPLlMTkdzTY0nf03GosOwlaYg5aqMwCASgAHD16JJUuWdHi/3SHj11kViEkfjObzRYjtPRyWgZmwDMpEbO/hMEdFIb93Ev7/udMAAAuXb8PJas/B08nqJjy/tVq422e7Q9Z1fiKc54TTxvxy3PuePvvLJAHNsroHDEwS0D+9R9i2vxvzy3G8yvt1xvnARLnUE7P+c750PmY90aM9Ciei7cbLd0zA5FEcmiVS8D4DEVFwsd0l8u3gwYN+zyNoYeTOnTsBAGlpacFapEcVFRV4+eWXIUkSnn76adWlpXFxcQCApibfT3XbbDbXv+Pj4z3+W2keztfbv0ePdSD92R0yNuaXM/AgMhCOJxjZLtqUu1Z0yEBVvbYqrK5Azdh1Kd30PVf4oIAYPcayEzkPUhJihcJ9f4+DqromVZ/D21h0Iu270rZzBpzexiTsGR+DIekJOFlRh+qGZo/j2SnN15MZw9MxNiMJeaVi4wXGx5jQ0Kwcfnrbxz3jo9FSfgINhTloLMxBU8kRwN7qcdrs7Gy3v205VoF/l9QgZf4vEZWYCpMlwW3ZzrEQZchC3Wt+f+y84jiO7Zet1/y00HM8SYcMJMVFoeSi8rTt3xPO4/+Jjt3afozVYLVH4US0PZvl4QEIIiIiIiKjEA4jf/vb33r8+zPPPOMz0HM4HKioqMD+/fshSRImTfLczU+wvPTSS6irq8Ntt92GzMxM1e9PTk4G0Fbp2dra6nXMxurqy2Oz9OjRw+39nafxNY/279FjHUhfl7uPOsnAg8gg7A4ZP/37Hhz+z83eztUUh0tr8NO/79G1moKCS7QLxq50s1KtqjrxoFbPm+FaHxQI9wBTy/qbTRL+/tNrFKv2fBE5D27JzMAXh3yH03qEIiIhgyQBGd3jMDA13hUAOgNDQF377mnbeQs4zSYJs0amC4Vaaubbmdkk4b17r8FdK3fjaJnn8VrNJglX9e2OpTOH4rODJfj63+dUtXXFxcXIzs5GVlYWvvkuC5cu+P7N4XT48GGUlJSgT5/L+9kZJsWkDfS5/M9ySiBDeZzFzsGTL1qCLL15Owed/+0eF43hvRJwRZIFuSWXcLa6wWdYNCClGwrKaoXOY6VgOxyIPIDQOUwPVnsUTpSOQ6V2h4iIiIjICITDyM8++wyS1PHLrSzL+OKLLxTfK8ttv0C6d++Ohx56SOUq6qu4uBgAsGbNGqxZs8bntHfffbfr385S7UGDBgFoG7Dz3Llz6Nevn8/lxMfHo1evy12l9OrVC/Hx8WhoaHBN40lzczMqKio6LNPJ33Ug/SiNg8LAgyg0jFBNEQmMHP7MHpKIzYXK3bh1pZuVaokEQwDQPS5Kt5vhWh8UCPdKZ3/WPzUh1mvV3o4TldhTdMHnskXOAzVVhL4otRkiIYMsA88vHOu1bVbbvnfedp4CTrU87RM1801NiMWXj07HpoIKrPj+FE6eb2vLhqQl4MHpgzFz5OU2VjIBX+ae8zm/9vu4tbUVo0aNQl2d7/bRRTKhx8DReOTu23CD1er2m0E0TNpyrALRZpOuFetagqxAEN3f3s7z9mFRbvFFxf3pFAkBk5YqR73ao0jjb7tDRERERBRqwmFk54rGvXv3QpIkTJgwASaTyev7oqOjkZycjDFjxmDBggVITU3VvrYGMGbMGNe/Dx065DUIzM3NBQCMGjWqw98lScKoUaOwf/9+HDp0yOty8vLyYLfbAQCjR4/WdR1IP1uOVeB4lfcbIAw8iELDCNUU4c7o4c/EPvEhv1npT1hrhKBXJBgCgN8vGKvbOml5UCDcK531WH9vVXuPzB6Ghcu3+X0e6FF1o3fXqd6obd/VVDyq4e98zSYJc0f1wlyF8d08bTPZYUdrzXlEJ1/hts2ioqIwa9Ysnw+MRiX3RtygTFgGjseEyVPxwdI5Xttz0YcWLjV67vq1MzUV60bqrlNkf4uERSLdvnaPi8JfFo/HrBGhf/DHX1qqHFkF6F2g2jPynxG+1xEREREZnXAY+Y9//KPD/x85ciQAYOXKla4xDMPB888/j4aGBq+v5+Xl4amnnnJNO3bs2A6vX3311UhISEBdXR2+++47zJ8/320e1dXV2LNnDwBg1qxZbq/PnDkT+/fvR1FREQoKCjwOjPvdd98BABITEzFx4kTd14H0wcCDyJiMUk0RrsIh/An1zUp/wlqjBL2KwRCAMRlJuGlchm7L1HLdDPdK50Cuv57ngT9VN4HqOtWTrta+O/fxf/3lC+Ts2oqmohw0nj4EOOzo++g/cWW/Hm7bzGq1dggju3fvjtmz52DgVVNQ1X0EWhPShPet6EMLotRUrIdjd51KYZHSOWuEh330pPUBBFYBUjgxyvc6IiIiIqMTDiM7e+GFFwAAsbHh9aVqwIABPl+vqbl8s6h///5uVYUxMTG47bbbsGrVKmzYsAG5ubkYN25ch2lee+01tLS0wGKxYOHChW7LWLhwIZYvXw6bzYaXXnoJb775ZofXi4uL8fHHHwMAbrvtNkRHR+u+DqSPrnZDjChcGKmaIhyFS/gTqpuV/oS1Rgp6FYOsPvoHulqum+H+4E+g11/P80Br1U0wu07tKu17bW0ttmzZgqysLGRlZbmGjGjv8QlReGixe1thtVoxdepUWK1WzJs3D5MmTfI6xrwSZ5iUV1IDlcOVulFbsR6p3XV2paDNnwcmWAVI4cBI3+uIiIiIjE5zGHnLLbfouR5h5Wc/+xm+/PJLVFVV4cEHH8Tvfvc7TJkyBXV1dfjggw+wevVqAMADDzyAtDT3H8fp6el44IEH8Le//Q2bNm3CL37xCzz00ENIS0vDoUOHXNWbqampePDBBwOyDqSPrnJDjCjchGM1hZGEU/gTipuV/oS1Rgt6g31TXMt1058Hf4zQbVowHlwK5nngaZuW19ggAT7DKpMEfHqgGDLkDu+9b9ogVfsjWO17sI8du92OAwcOuMLHHTt2oLXVd9en1cf3w2y60e3vw4cPx7Zt23RZL2eYdMcbW3G8qkmoy9bOnO9JskQjNsqMx/51UGhbhroCPpC6UtDWlcJX6nqM9r2OiIiIyMg0h5E2mw3bt2+HJEmYOXOmz3Ej7XY7tmzZAlmWMX36dMTExGhdrCGkpKRg+fLleOihh3DhwgX8+te/dptmwYIFWLp0qdd5/PznP8fp06exbt06fP311/j66687vJ6cnIzly5cjJSUlYOtA/mPgQaFkhJvsRhWp1RTBwqpv3/wJa40Y9AbzpriW62ZKQqxQ0NX5wR+jdJsWSQ8uedumIuGUQwY2FlTgi9xzfu2PYLTvwTx2duzYgZdffhnr16/HhQsXhN+XnJysGFbqJTUhFq/M74v9JQ3Ye17ClmMVQmNEpibEYHBqAgrKa3CpsRU1jS3Yd/oCTGcuCG9LBlmRoSuFr9S1GPF7HREREZFReU8QFaxduxbLli3De++95zOIBACz2Yz3338fy5Ytw/r167Uu0lAyMzOxbt06LFmyBAMGDEBsbCySk5MxZcoUvPzyy/if//kfSJL3H8cmkwkvvvgiXnrpJUyZMgXJycmIjY3FgAEDsGTJEqxbtw7jx48P6DqQ/2YMT8ewlLabpJ5IUtvYLww8SG+VdU1YuHwb7n1vH77KLcWOk1X4KrcU9763DwuXb0NlXdcMiZyc1RRjMpIAtN0EaP/fcK6mCAZneOJLuIQngeBPWNvVg15nkOTt+PJ03ZwzMk2xe8jOAaZot2l2tSVeGtySmSG0z43+4JLSNhVR32T3+F41+yPQ7Xuwj52qqip88sknikFkVFQUpk2bhj/84Q/YtWsXKisr8fvf/16XdRBhNkm4pl83vHpHJq4fni50jZgyOAWNLa2otbUFl84tpnZbOoOsV+/IxOr7r8Wrd2Ri1kg+eEVEodfVv9cRERERqaG5MnLTpk0AgJtvvllo+ptvvhm7du3CN998gxtvdO9OyCgmT57scUwWT3r16oUnn3wSTz75pObl3XjjjX5tDz3WgbQzmyQ8P683nso+16HrqkjoPoqMi2OTiGE1hXas+vbNn0q3SKqS00Jtt4t2h4yVWwsV5zs2I7FDgGmkbtMipVJbaZv6Q+3+CGT7ruexY7fbsW/fPmRnZ2Pq1KmYNWuW2zQzZ85EVFSUxyrHYcOGwWq1wmq1YubMmUhKSlL/gQJA9BoxJC0BX+Se8zkNuy8konDW1b/XEREREamhOYwsKioCAEyYMEFo+szMTADA8ePHtS6SyJCS46Lwyvy+KJd6MvCgoDDSTXajY7dg2kRKeBIo/oS1DHrVBUlbjlUgr1Q5ALv/+iEd3mekbtOMOu6d2q6+RbapP9TuD3/ad1+f3d9jp6ioCNnZ2cjKysKGDRtcFY/33XefxzAyMTERU6ZMwdatW5GcnIy5c+fCarVi3rx5GDhwoOrPFgyi14gT5+sMcx4SEQUCv9cRERERidMcRpaXlwMA0tLEbkSmpqYCACoqKrQuksiwzCYJs0Yw8KDgMNJNdopMIuHJyiWTuuyYpf6EtQx624gGSaLt3cajFVg4/vKNPqN1m2a0Sm0tYyKKbFN/BGt/KH12S7RZ1bFTU1ODTZs2uQJIbw9eZmVlQZZlj0Mo/PGPf0RMTAwmTpwIs9ns92cMNNGA/dEPcwx1HkYKjhlOZBz8XkdEREQkTnMYGR0djaamJtTW1iIxMVFx+traWq2LIiKidox2k50ik6/wZHRGEu5ftVdVkBFJ/Kl0M2qVnFFpbe+M2G2aUSq1tXb1LbpNh6UnoKC8TvV6BWN/iHz2REuUz88pO+xoKTuOkydPYPqq/w87d+6E3W5XXPbZs2dx7NgxjBgxwu216dOna/o8oSQSsBvxPAx3Wh4kIKLA4fc6IiIiInGaw8g+ffqgoKAAe/fuxYIFCxSn37NnDwAgIyND6yKJiAjGvMlOkclTeGJ3yFi4fFuXH7PUn0o3o1XJGZnW9i7cu00LZOWT1q6+Rbdp9/gYTd25BmN/iHz2S43uYze2V/rOUrRWF8P7SIgd9ezZE3PnzsW8TpPppAAAIABJREFUefOQnp4eUVVtSgF7uJ+HRsMxw4mMid/riIiIiMRoDiOnTJmC/Px8vPnmm5g7dy66devmddr6+nq89dZbkCQJ1113ndZFEhEReHOPQotjll7mT6WbUarkjE5rexfO3aYFuvJJa1ffotvUrCGIVNofegV4Ip9dApAQJaPeLnmcLrb3ULRWF3t9f1RUFKZOneoa93HChAmurlcr65qwcPm2LlPVZoTzMJLCX15/iYyL3+uIiIiIlJm0vvHuu+9GdHQ0ioqKcPfddyM/P9/jdPn5+bjnnntQWFiIqKgo3H333ZpXloiILt/c83YPTZKAK/sY8yY7hT/nzXxfnEEGkb+0tnfObtPGZCQBgOv9ztkkWaJgiTbjsX8dxMb8ctgDORiiCqKVT/6sr9aub71tU+d/nV3RpSZaFNsIp87v9RQOOQO8e9/bh69yS7HjZBW+yi3Fve/tw8Ll21BZJ94lubfPLjvsaCo5iovb/olzHzyO/P+7GCNTYz1+zqHjp7i9f+TIkXj00UfxxRdfoLq6Gps3b8aTTz6JSZMmuYLIYOxboxE9ZgIVCup57BgBr79ERERERBTONFdG9u7dG//93/+Np59+GkeOHMEtt9yCoUOHYuTIkejWrRvq6+tRUFCA48ePu97z3//93+jbt68uK05E1FUZbWySSKo6IGUcs5SCSUt7175NSoiNxuRBPf/zdweOV9TjUmMLam2t2Ft0ASbpgqGq0vSqfPLVLot0fQsABWW1eOTDnA7tuUhXdCLVrAAwuncShqYn+OzGTu9uKdt/9paLZbAVHkBjUQ5sp3MhN9V3mPbRsQ7EDpjk9jmHJozHhO9WYM6cOa7qx379+ikuu6tWtYWq+8JAd2kaiu8+vP4SEcDfXkRERBS+NIeRALB48WLEx8fjD3/4A2pqanD8+HGcOHHC9bost/1aSkpKwjPPPIMf/ehH/q0tEREBMM7YJIHuTpCMh2OWUrCpae/at0kSgPaHqVkC7J0CCaONtaa1C9X2lNrlxRP7CYWFlXXN+Cq31K09V+qKTrRrTpFtrWeAd/HiRaRVHsT5bz+BreggWi/6HvVxw/psvPii1eN8y8vLYTKp62BGj31rZEo3x4PdfWEgw99Qfffh9ZeI+NuLiIiIwplfYSQAzJ8/HzNnzsS6deuwa9cuFBcXo76+Ht26dUO/fv0wZcoU3HTTTT7HlCQiIvVCPTZJoKsOyJg4Zml4iLSn5kXau85tUuf79XYfN/CNUpXmb+WTSLv8x6+PCq+P8315JTW4593d+HzZdMXjR8/qfX8DvMLCQqxatQpZWVnYvXs3HA6H4jKdTp065X2ZKoNIILKr2kRvjgezXQpU+Kvmuw8AXT8vr79EXRt/exEREVG48zuMBICEhATceeeduPPOO/WYHRERhYGu2uVcVyda9cQxS0Onqz41r9QmKTFCVZq/lU8i7bKtRTyQc5IB5JXW4stDpVggEHToVb3vb4BXVFSE3//+90LLMsUl4YpRk/Cb+xfj1ptu1H1oiUBWtYXy4QPRm+Mrl0zC/av2Bq1dClT4K/rd58tDpVi57ZSun9ef62+kPaBC1BXxtxcRERGFO13CSCIi6noivcs58sxoY5ZSR135qXmRNskXI1Sl+Vv55O82UPL0usOYf1WG0LGjR/W+UoDnsNWh6UwumixDAVzr9vp1112H+Ph4NDQ0uL0WHR2DXsPGIWXkJIy8ehoeWDgbM0f2Cth5MWdkekCq2kL98IHozfHFb+3E2eoG19/a/zcQ7VKgwl+Rc0xC27lSa2sBoN/n1Xr9DfUxQkT64G8vIiIiCncMI4mISJNI7nKOfDPKmKXkris/NS/SJvlihLHW/K089ncbKLnU2BLUY6dzOCvbW9F07hhshTmwFeWg6dwxQHagqvFmAD91e39sbCxmzpyJr7/+GgAwevRoWK1WWK1WXH/99UEbRsLukLFy60nF6TztW18VbQBC/vCBaDh3uso9EHZS0y6JVvgFqktTkXNMRtu54mu5WtthtdffrvyAClGk4W8vIiIiCndCYeTatWtd/164cKHb39RyzoOIiMJXILucI+ML9ZileojEbuu68lPzIm2SL0YYa83fymN/t4EIvY8dX+fh9cPSMCj6Ev69ZxsaCnNgO30IcnOj2zxy92yD3W6H2Wx2e+2RRx7BokWLMG/ePPTpE5r9u+VYBfJKaxWne2D64A77Vqmi7Z6pg3R9+EAp+PRENJxTItIuqanwC1SX4nqdY/60w2quv135ARWiSMPfXkRERBTuhMLIJ554ApIkQZIkV5Do/Jta7edBREThK1BVB0TBEKnd1nXlp+ZF2iRvjDTWqT+Vx/5sA1F6HjuezkO5qQ4fffwJ4ivygJJcnDl9WnE+1dXVOHDgACZNmuT22g9+8APd1lcr0erBDfkVrjE5lSra8kpr8PgnhxSXLRp6KbWJT03vieQ495+OeoVz3tolZ0D66YESbMqvQH2z3TV9+/92rvALVJfiep1jwWqHu/IDKkSRhr+9iIiIKNwJd9MqyzJkWXb7m1pa3kNERMYTqKoDokDT0m1duFRRduWn5p1tUl5JjVAlFmDcsU5FK586H5c9u8VgQEoczlQ1etwGkgRYokywtTiEt1F7eh47ns7D85//GQ0F2wHZITyfMWPGwGq1Ijk5WZf1CgTR6sH24ZRSRZssA3aBZYuEXiJt4lPZTXhlfl+394qGc5LUts7eeDq22gekEnxXWHqq8AtEl+Ii332SLFGotbUqhs9FlQ24c8WugF5PuvIDKkSRhr+9iIiIKNwJhZH5+flCfyMiovDhb7gSqKoDokBT221dOFVRduWn5p1t0j3v7vbZJaYEICkuGmMyEpGaYAnbsU69HZcOGYiLNqGxxeGxXf7L4vH41ccHPb5PiZ7Hjqfz0GRJUAwi09LSMG/ePFitVsydOzdkXa+qoeUhAZGKNhEiAbJIm3i8qgn7SxowelTH10RujvfpbkHxRZvPdeh8bHUOSLV29ap3l+Ii333umzYYj/3roM/5yABKLzWi5GJjQK8nXfkBFaJIw99eREREFO6EKyOJiChy6BWuBKLqgCjQ1HRbd/3wNNVVlKHU1Z+aT02IxefLpuPLQ6V4et1hXGpscb3mullnsABZC6VKtqZWBwakxGNcn+6obmh2a5c9tds3j8/AS1kFOHKu1mtVpdZjp7q6Ghs3bkRWVhY2btyIvXv3ejwP4wZmou7gNx3ea46OwawZ17sCyHHjxsFkMqleh1DS8pCASEWbCJEAWbRN3HCqFnd1+rvSzfExvRPRalf+IJ2PLaWA1JNgVfgpffcBgHe2nfLaDjvJQbiedOUHVIgiEX97ERERUThjGElE1MVo6aLSF72rDogCTU23dWqrKEONT823bYMFmX0w/6qMiL1ZJ3Jcnq5qwLM3jfF4XHprt8f3S9bl2GlubsauXbuQnZ2NrKws7Nu3Dw7H5YrHTZs2oaouw+08tAwYB0gmRKf2R9zATFgGjsfMGdfjX0tnKi7TyLQ8JKDXWIxx0SZMHZra4W+de0Y4Vl4r1CZebPTcMayvm+N2h4z739+nuJ4PTB/c4djSUhkazAo/pe8+ntphLV3N+qurP6BCFIn424uIiIjCFcNIIqIuJtzCFSK9qem2Tk0VpdbzRW2XyUrT86n5NpF8sy5Qx6XWY0eWZRw7dgxZWVnIzs7Gpk2bUFdX53U5WVlZSJnxM7fPYLIkoO8jH8Acl+T6DL16dhdef6PS8pCA6FiMShpbHNh+otJ1HHjqGUGESQKS48yu/++tHfq/i67CthPn8VlOKVZsPYWiqgbFEE4CsCG/Agv8rAw1UoWfp3OpqLIBpZcaFcfO9Od60hkfUCEiIiIiIqMQCiP37t2r60InTZqk6/yIiEhcMMIV6sjf8TlJX2q6rVux9ZRwFaUWartMFp0+koM4Ulfdq5bosVNTU4Nvv/3WFUCeOXNGeBnff/89Xnvs9x7PQ2cQCYQmXApUe6026FWqaBPV/nre3OrAbW/swOmqBgDqqg4dMjBncCIA3+2QJdoEW4vvcT87k+F+rKqtDDVihV/nc+nOFbtQcrHR53sC0dUsH1AhIiIiIiIjEAoj77rrLkiSPj9SJEnCkSNHdJkXERGpF8ib2OROr/E5ST9quq37NKdEuIpSLbVdJuvdxTJpF+oHDNRU9wbKsWPHcPvttwtPH5M2EJaBmRg1cSo+euZenKhqRve4KFxqbPU4fSjCpUC312oeElCqaIuLNqFRIPRzXs8r65pw2xvbcbrKdxjmiSQBQ3vG4uo+8YrtkNogEvB8rIpWhkpS29iL4VDhF8rzlg+oEBERERFRqAl30yr76k9GBb3mQ0RE2hjhJnZXwfDImNR0W6emilIttV0ms4tlYzDCAwaBPC6dZFlGQUEBGhsbkZmZ6fZ6ZmYmUlJSUFVV5fH95m7JsAzM/M//xiMqoScAoBzAD1/bhcYWBzw1e84uPYMdLhmxvfZV0TY6IwnWl77HpcYWn/MwSUDP+Bj89O97VAeR7dvEp6b3hNkkKbZDWjhkYHBqN9gdsmvbilSGdos1Y/aIdNw6oW9YVPgF47wlIiIiIiIyKqEwcsOGDR7/fubMGTz11FM4d+4cfvjDH2LOnDkYPHgw4uPj0dDQgFOnTmHDhg345ptvkJGRgeeeew79+/fX9QMQEZE6vBkWPAyPjEu02zo1VZRqqe0ymV0sh55RAqtAHZeVlZXYsGEDsrKykJWVheLiYvzgBz/AN9984zat2WzGnDlz8PHHHwMALBYLrr/+egwaPwXrzqciOm2gx55VZMBV0edp3ZPiovHXRVdh5sjgdmOtd3utV/Wsr4q2vywah/vf3+/z/Q4ZGJKWgC9yzwkvMzUhBiOuSOzQJp44fgyAWLulxcsbjmNDfnmHrqZ9PTQSjj0LaD1vQ12JTUREREREpAehMLJPH/cb0lVVVfjNb36DpqYm/POf/8T48ePdphk5ciRuvPFG/OQnP8HPfvYz/OY3v8Gnn37q/1oTEZFmgQxXqCOGR+JCcbNVpNs6NVWUaqntMpldLIeeUR4w0Ou4bGpqws6dO13h44EDB9x6MdmyZQuampoQG+se+tx5550YMGAArFYrpk2bBovFgkc+zIElt1RzWHWpsQUmkxT0kEVNe3398DSf7VWwqmdnjewldD0/cb5OOEA0ScB1Q1Lx6h3u1bCAWDukVecw3/nQyKaCCqz4/hROnq8DAAxOS8CD0wehR3xMYFYkQLSct0aoxCYiIiIiItKDcDetnb355ps4f/48nn32WY9BZHuZmZn45S9/iWeffRZvvvkmnnrqKa2LJSIiPwUyXKGOGB6JCeTNVj1CTtEqSrXUdpkc6V0sh0P1T7AeMBDZFqkJsVjz8FS8vvk4PtlXgrqmViTERmHRxD74+cxhiIkyuc1XlmXk5+e7wsfNmzejoaHB57o0NjZi+/btmD17tttrCxYswIIFCzr8zd+wKlQPaIi212WXbFi4fJvX9mrlkkm4f9XeoFTPil7PH/0wR3ifKPWMINIOaeUpzL/Q0IxX1h/r8Pmq66uxp7A6LMM4NdcTo1RiExERERER6UFzGLlp0yYAwKxZs4Smnz17Np599lls3ryZYSQRUYgFKlyhjiI9PNJDIG+26hlyilRROj+PaKCmtsvkBVdFbhfL4VL9E4wHDES3hafpam0teHn9CWw4WuG2zZ5//nm89dZbKC4uFl6XuLg4zJgxA9HR0cLv8TesCtUDGqLrfbTsEuqb7AA8t1eL39qJ01XeA169q2dFrudq9smVfXz3jCDSbvmjfRgdCWGcr2uC0v43SiU2ERERERGRHjSHkRUVFQAAk8n9qWtPnNOdP39e6yKJiEhHouEKacfxOZUF6mZrKG5iqw3U1HSZXFnXhJfXF/hcfrh2sRxOgUOgHzAQ3RZrHp6qepvV1NQIBZGZmZmYN28erFYrpk6dCovFouoz+BtWheoBDdH1rrXZvb7mkIHTVQ2Q0DY2pjd6V38qXc9FP9uAlHjFnhGU2i1/tQ+jwz2M8/chC3b1TkREREREkUQsSfQgKSkJALBt2zah6Z3TOd9HREQU6Zw3bb3d15Uk5SqUSOe82eqL82arN3aHjI355XjkwxzcuWIXHvkwB69uaOvWz9tN3PY3sfUgGiLZ262Qs4vFMRlt342c28H5X2cXiwDw07/vwZFztT7XYUzv8Oxi2Rk4BGtf+eOWzAyhykitDxiIbovXNx93TSfLMprPn0bN3rUo/+QZtNZWetxmVqvV4zwzMjKwZMkSrF69GuXl5Thw4AD+/Oc/Y86cOaqDSEC53VMSqgc0ZgxPx4CUOF3mpZTRBbv6U2SfDEiJQ/YvZihWICu1W74kWqKgNFn7MFrk+iDB9/UhVLRcEzpjV+9ERERERBRJNFdGTpkyBV988QVefPFFjB07FkOHDvU67fHjx/Hiiy9CkiRcd911WhdJREQUVjg+pzJ/b7Z6qzwRqdjRs6JEawWPSBeLG/PLfc7b6RdzhxuiK1O1wqn6R6QqrHtcFOwOGXaHrPrcFt0WqzfnoeHILjQUHoSt6ADsddWu121FB5Fw5Vy3bTZt2jRYLBZIkoQZM2bAarXCarVi9OjRkCT92iCldi8u2gRbqwOyQjVwsJlNEkb0SsLpqsaALyvY1Z9K+8RZpedpnFFPvLVbs0elY8WWEzh8rs7tPWMzEnH/9MF47F+HfM67fRgtcn2QAZy7FPh9ppYeVZ3s6p2IiIiIiCKJ5jBy6dKlyM7ORnV1NW699VbcdtttmD17NgYNGoT4+Hg0NDSgsLAQGzduxKeffoqmpibExcXh5z//uZ7rT0REZGgcn9M3f262KlWeKNGzosSfQE2pi0XReX9+qBRzRvfSsvohFU7VP51DHU/dcdbaWnH/+/s0jXXpbVvIrc2wFR+BreggbEU5KCw/6XUejUU5SLhyrts2s1gs2LFjB0aNGqWp4lGN1IRYrHl4Kl7fdAKf7C9GXVMLEmKjsejqvrh9Uj88+I99hnxAo66p1e95SBI8Bq3tOWSgvMaGO1fs8jmurJ70vhZ5a7duGpfhdRkA8M62QqGuqYG264NSl7cAcKy8TlP4H0h6PGTBrt6JiIiIiCiSaA4jBw4ciOXLl+PRRx9FfX09PvroI3z00Ucep5VlGd26dcOrr76KAQMGaF5ZIiKicMTxOb3z52arUuWJEj0rSgIZqIVTWKdFuFX/OEOdzfkV+OUnh3CpsaXD6/6MdencFnaHjJbK07AVHURjYQ6azuZBbhXbv7aig5BlB8wmk9s2y8zMFJqHvzxVLNfaWvHyhuPYkF+OlUsm4UhpjeEe0BA5FpXIcluXp2erG33OZ29RteoxBP0VjGuR0jLU9BYgOtblpcYWw40bqUe7rWZcYSIiIiIiIqPTPGYkAEydOhVff/01Fi1ahPj4eMiy7Pa/+Ph4LF68GF9//TWmTp2q13oTERFRBPBnXE2R8cR80bOixBli+KI1UAvkvI0g0OMwBoLZJEEywS2IbE/LWJfObdF6oRTn3l2GCxtXwla4XzGIlKJjETd4InrMeQC97ngBgBSybSYyVt79q/bi+uFpePWOTKy+/1q8ekcmZo0MbGWgCJFj0Rdne/Xxz65zG1Ox8yfTMoZgJHCG+X+/ZxLmj8vA1KEpmD8uA3+/ZxLWLp3WIYydMTwd3eOUn51VGlc4FPRot0XHFQ71eUNERERERCRCc2WkU69evfDcc8/hmWeewbFjx1BaWoqGhgbEx8cjIyMDw4cPR1SU34shIiKiCOTPuJoilSfe6F1REsju9CK9q75wrf7xtxtGm82GsrIyDBw40PU357bIgwxzUhrsNd6CTAkxVwyBZWAm4gZlIjZjFKSo6HavAmO9hPiBpsdYeaEiMiaoJ53bq/Zdon56oBgnztehoqYJVfXNXudh5O2iN9EKTbNJwvBeidhbdMHndEasDNer3WZX70REREREFCl0SwmjoqIwevRojB49Wq9ZEhERhQ27Q8aWYxX4LKcUVXVNQRsHLBJovdmqpktFbyEnAGzML/d7vwUyUAvXsE6UP4F0KKnthlGWZeTl5SErKwtZWVn4/vvvMXHiRGzdutU1ffttUTkwE3W5WZdfS0xF0tCrEdXvKsQOuArm+O5el5sUFx2ybabHWHmh4u1YVJJoicJfFo/HrBGX2w2zScKVfbvjr9kFOHquVmj5Rt0uoXRF9ziYpAth042zk57tNrt6JyIiIiKiSMCSRSIiIj95Gh8tmOOARQKlm63tw96zFReQbDHjqsFXCAUFj80dhlPn691CzgsNzVi4fJsu+y2QgVq4hnVqhGP1j0gY7qi/gPM5Obj77teRnZ2NsrKyDq/v3LkTNTU1SEpKcv3NuS1eMN2Jd95pQMqISRh59VTc+6NpWLH1FHaeqlZctzEZiSFrc8J9jNPOx+LxilrFMPFSYyvMktThOO3cXa0II2+XUAnXyvCu0G4TERERERGpoUsYmZubiy+//BKHDx9GdXU1WlpasH79etfr58+fR05ODqKjozFr1iw9FklERGQIIuOj/fTve7B26TTedNTIW9i7ufAE4qJNsLU44Cn7cFaePDJ7mNu2D8R+C2Sgpnbe4VipG27VP55CEkdLE5qKj8BWlIPGohy0VBTirI952O12bN68GTfffHOHv5tNEp5augRPLV3S4e+fHRSrOkxNsKj9OLoRCWmNWMnWXvtj8ZEPc1BQVqu60lOpu1pv8zHydgmFcK4MD8eHLIiIiIiIiALFrzCyoaEBv/vd7/Dtt98CaOt+CgAkqeMPq7i4ODz55JOor6/HZ599hpEjR/qzWCIiIsMI5/HRwoFSaGhrdcASbUJji0NV5Umg9puaQE1tYCg670iv1DVK0No+JKk9shV1uVloKj4MudX7uICd9evXD7W1Yl14AuFRJRbqddT7+NBa6SnSXa2n+Ritwi/Uwr3CMNwesiAiIiIiIgoUzWGkw+HAww8/jD179gAArr32WgwfPhyrVq1ymzYhIQE33HAD1qxZg++++45hJBERRYxwHh8tHCiFhrIMNLY4vHbF6u0Gdaj3W6ACw0iv1K2sa8I97+5BXqeuL784VIqxGUl4797gBa3tQ5Kt24phK8pRfE9CQgJmzpwJq9UKq9WK4cOHuz3E54s/VWLBCnGDVcnm6fPMGZmGlVsLkVeq33mltdJTJMRsz8gVfqHGCkMiIiIiIqLwpzmM/Oyzz7B7927ExcXhzTffxOTJk9HQ0OAxjASAmTNnYs2aNdi3b5/mlSUiIjIaI46PZpTKMT2Ihoanztfj1Tsyhecbyv0WyMAwkit17Q4Zd63cjaNlnisJ80prcNfK3fjy0em6HucNDQ3YunUrvsvKwoQbFmN3VUyH82rNw1OxMr0OS7etdnuvJEmYOHGiK3y89tprERMTo3ldtFaJBbNaNhiVbJ4+jwR0qMjU67zSWukpEmK2Z/QKv86CfZ1hhSEREREREVF40xxGfv7555AkCY8++igmT56sOP3w4cMBAIWFhVoXSUREZDhGGx8t0rroDFRoGMr9FsjAMNQVn4G0Kb/CaxDpdLSsFpsKKjB3VC/Ny3E4HMjNzUV2djaysrKwdetWNDW1HV89cuuRPPEmt/Nq5d0z8LvkZFy8eBH9+/d3hY+zZ89GSkqK5nXxRMv4ocGulg1kJZu3z6OU+Wk9r7RWeoqEmAAweVBPPDRjSFhV+EXadYaIiIiIiIgCT3MYWVBQAACYO3eu0PQ9evQAAFy6dEnrIomIiAwn1OOjtReJXXQGKjQM5X4LZGBoxEpdvby99ZTQdCu+P6U6jCwtLUV2drbrfxUVFR6nsxXlwHH1TQA6nlf3v78f7//jAwwfNlR116taqKkSC1W1bKAq2ZQ+jy9aziutlZ5KISYADEiJwz/um4yYKJOmzxMKkXidISIiIiIiosDTHEY2NDQAAJKTk4Wmb25ubltglOZFEhERGU6wxkcTEYlddAYqNAzlfgtkYGi0Sl09nTpfJzTdSYHpGhoa8P333yMrKwvZ2dnIy8sTmrftzL8h21sgmaNdf3OeV3FzJ2LECO0VmYESadWyIp/HG63nlZZKz84hpienqxpx2xvbw6qSMBKvM0RERERERBR4mpPBnj17oqKiAmVlZUhMTFSc/sSJEwCA9HT+KCUiosgRjPHRREVa6AAELjT0tt+ckizRuG/aID/X3rNABoZGqtQ1qurqamRkZLi6XhURlZQOy6AJsAwc73WaX318EBt+NdNwoVIgw+9QjE8r8nm88SeI11LpmZoQizUPT8W8l7bgdFWDx2nCrZIwEq8zREREREREFHiaw8hx48Zh/fr1yM7OxrBhwxSnX7NmDSRJwtVXX611kURERIYUyPHR1IjELjoDGfY699sXuaV45vM8XGpsdb1W09iCx/51CO9sK9S9aimQgaGRKnX1NjgtAZV11YrTDUlLANBW/RgfH+/2es+ePTF06FAcPnzY6zwSExMxe/ZsWK1WfFOdhtzaOMWuVy81thoyVApU+B2qcQNFPo83IueV3gHrthPnvQaRznUKp0rCSLzOEBERERERUeBpDiNvueUWZGdnY8WKFZg8ebLPkPHTTz/FF198AUmSsGjRIq2LJCIichOKyhxPAjU+mhrB7qIzWNu+c9h7puICkuPMWHL9KF3C3ne2nkKtrbXD35ybMBBVS4EMDI1Uqau3B6cPwp5C72Gko9mGprN5aC0txdi/PYCoqCgcPHjQ47RWq7VDGGkymXDNNdfAarVi3rx5mDx5MqKj27piPfphDg7nlgqFX0YMlQIRfody3ECRz+NNXLQJU4emAvDcfs0ZmY6VW08ir7RWt4A10ioJI7kraCIiIiIiIgoczWHk7NmzMXv2bGzcuBFLlizBokWLOgSSBw4cwJkzZ/Dtt99iy5YtkCQJN910EzIzM3XyL8VWAAAgAElEQVRZcSIiolBV5hhVMLvoDPa2bx/2FhQUAABGjPD/xr3o+Gfz/7YVQ9MTVYWtvsLaQAaGRqnU1duskb0w6ooEHC1rGxNSlh1oLj8FW1FO2/+KjwD2Vnza7j3l5eXo1ct9HEer1Yq1a9fCarXCarVi1qxZ6NGjh8flqgm/jBgqBSL8DuW4gUqfx5fGFge2n6jElX27e22/2n+G9v/VGrBGWiWh6HVmwVUZQVojIiIiIiIiCgeaw0gA+Otf/4pf/OIX2LRpEz766CN89NFHri6sfvzjH7umk2UZc+bMwfPPP+/f2hIREf1HKCtzjCpYXXQqbft/l9Rgxv9swqyR6bh1Qp+gV6mqIVK1BABHz9WioKxWOGwVCWsDGRgaoVK3PT2qaM0mCX/+YV/c9fsVOHFwJ2xFB+Fo9B6IAcD69es7fCd1uuGGG3Dq1Cmh5TrPK1/hm5MRQ6VAVMuGstpPabxXX0wS8OmBYvw1u8Br++WN1oA10ioJRcPgl9Yfw1X9k7vUA0FERERERETknV9hpMViwRtvvIGvv/4aH3zwAXJzc9HaermbM5PJhDFjxmDJkiWYP3++3ytLRETkFMrKHKMKVhedStseAOqb7fgq9xy+zD0XtCpVLYGXSNWSk2jQrSYoN1JgGCj+VtHu3bsXq1evRlZWFo4ePSq8XJPJhBMnTnh8TWn8x/ac59Wcv2zBpcYW38s0aKikd7WsaLVfZV1ggllPn6egrBaVdc2K63TifB2OnqvVtFzRgLV9W3SiolZoW+lRsR4MzvPhnnd3I6/U+3Y8cq7rPRBERERERERE3vkVRjrdeOONuPHGG2Gz2XD27FnU1tYiPj4effr0QWJioh6LICIi6iDSxuHSg90hI7f4IgakdEOrQ0ZNYyuS4qIwNC0Bt07oq1sXnaLVhIEcd7EzrYGXSNVSZ0pBtxGD8lCNrapHBfOOHTvwyiuvCC1v8ODBHbpeTU5O9vszAG3h118WjcP97+/3OZ2RQyU9q2VFz5vDpZdQWdcUkAcROn+eRz7MwVcKY3uaJKCmsVX1Oe8kUvnqqS3yRa+K9WBKTYjFY3NH4P7393mdpis+EERERERERETeaQ4j9+7dCwDo37+/aywei8WCYcOG6bNmREREPkTaOFz+8hbGlVwEokwSruzbXbfQSU01IRD4m9L+BF5qxgNsz1fQbbSgPJRjq4oEszlHT+K3L+zH/YtuxPDhw92mmTdvntf3d+/eHbNnz4bVasW8efMwZMgQXdbbk1kjewWlG+RwIHre1DS2Bq06TnQsw6S4KJRc1LYMpcpXb22Rt3kpVayH6iECEZ8fMlY7R0RERERERMamOYy86667YDKZsHr1alcYSUREFCzhMg5XMG4mB3v8TC3VhIG8Ke1PJaLo+Gee5ukt6DZSUB7qsVU9BbOO5kbYzubBVngAjYU5aK0uxosAkqUGPPnkk27zGDVqFPr06YOSkhKYzWZMnjzZVf04adIkREXp0tGHG0/n7n3TBmPl1pPIK60NWDfI4cB53uSV1MDXoS7D94MIeraPomPmDkjphoIy5a5TPVGqfBXpwhoARvVOxLD0RJ/d5IbyIQIRRmrniIiIiIiIyPg0371JTExEXV0dBg8erOf6EBERCRGtgglll4nBupkc7G5BtVQTBvKmtD+ViN7G2VTiK+g2UlAe6i5jq+qaYLfb0Vx+Eraig2gsPICmknzA0eo2bVZWlscwUpIkvPDCC0hMTMSsWbPQvXt33dezM1/n7tiMJLxy+3hsyK/we+zFcKV2HE1P557e7aPomLm5xRfxZe451Z9ZpPJVtC0alp6IV+/I9DpNqB8iEGGkdo6IiIiIiIiMT3MY2b9/fxw5cgTV1dVBuSlERETUnmgVTKi6TAzmzeRgdwuqpZowkDel/a3QSU2Ixdql0/D9sfP4LKcExytqcfRcreL8vAXdRgrKQ9Vl7JkzZ5CdnY297/4LxQd3wWHzvT2BtrEh6+rqkJCQ4PbaXXfdpdu6KVE6d4+cq8HKbadCGgQZQWpCLEb3TsTOU9U+p/N07gWqfex8LnsKi0XbLwltlZ1qKl/1qhYM9UMEIozUzhEREREREZHxaQ4jf/SjH+Hw4cP46quvsGzZMj3XiYiISJFoFUyowoJg3kwOdnd5nbe9JAGywPIDdVNajwods0nCrJHpmDUyHXaHjIXLt2kOuo0UlAf72GhpacH48eNx5MgR8TdJJozNnIhFC36ElhbfVXbBEA5BkFGkJlo0nXuB3Mbtz2VvrytdOx6YPlhT5ate1YJGG3fWEyO1c0RERERERGR8fo0ZmZWVhbfeegsDBgzATTfdpOd6ERERKRKpggmVYN5MDlR3eb7Gc2u/7T89UIyNBRWob7J7nE+gb0rrUaHT+bP27h6HGlsrTlc1qA66jRSUB7srxejoaKEeM6J6ZMAyMBPxgzKROfk6fPXrHximyjAcgiCjED33bh6fgY355a7zq6iqQfEhhkBuY5FrxwIND0/oVS0YDuMxGqmdIyIiIiIiIuPTHEZ+9dVXWLBgAUpLS/H444/jnXfewbRp09C3b19YLBaf7124cKHWxRIREXWgVAUTKsG8mRyI7vJEx3Nzbntv0wfjprS/FTq+1n1AShxGXpGEuqZWVUF3qINyZ7haXmMTOg5Fjo3Tp08jOzsbWVlZKCwsxN69ez1ON2/ePOzcubPD36LjEhDd/yrEDcpE7IDxiO1xBRwyXMeSkQIL0XP3eEUtHvkwxy2oN9JnCTSRc29kr0S8nF2AvNJa4TFZgcCHbYG4duhVLRgu4zGGup0jIiIiIiKi8KE5jHziiScgSZd/YBYUFKCgoEDxfZIkMYwkIjIQX9VvvJGoXTBvJuvdXZ6W8dxCeVPanwodpc96troRSZZoTeMDhioo7xyu+uLr2KipqcHmzZtdAeSxY8c6vH7y5EkMGTLE7X1WqxV/+tOfMGXKFFitVsybNw+ZE67G9pPVYRFYiJy7AHD0XC0Kymq9BvVdgdK5N6Z3EuwOB46cqwMgHkQCxgjb1NKrWjCcxmM06gNBREREREREZCyaw0gAkJUGiNLpPUREFBii1W+kXjBvJuvdXZ7W8dxCeVNaaxgaaeMD2h0y7nnXPVztTAIgA0iyRCM2yozH/nUQN4/rhW41Z7BhfTays7Oxc+dOtLa2el1WVlYWHn74Ybe/T548GVVVVUhKSurw93AJLETOXSeRoD7S+Tr37A4H7n9/v6b5GiVsU0uPBzM4HiMRERERERFFGs1hZH5+vp7rQUREQaal+o0uU6ooDfbNZD0rE8N1zDwtYahen9UoFcZrD5Ygr9R7uOoUF2NCQ7MD1RVl2LRzL2xFOXj99CE4bHXCy9q2bZvHMDIqKsotiAwnSueuL+EWXuvF27n3/9i79+io63vf/6+ZXAlJQHKDRAQEwkVAgogKyEWYsSpHpWptuz21qKhbanfdtfbUZXvWby27d627P7s5m2p1W2pPu+3WWhBarTPcQVQEI3KTiCaICQRIgJA7mZnzRzpjkrl9J5n7PB9rdQXn+/l+5zOZzKRrXnm/3w+/XBlSa1a3RA/bBvqHGcxjBAAAAAAkmwFVRgIAEleyVYRFk9GK0mh/mByuysRozruMtXA81nipMK5vatdjr+41tLa10ylJaqveo8a3/sPQOenp6Zo9e7YsFousVquuuOKKfu81nvUNgtxVpEbFY1AfK0ZeXz0Rtn2JeYwAAAAAgGQSUhjpdDpls9n0zjvvqL6+Xi6XS8XFxbrqqqv0la98RenpZJsAkCgStfot1kKpKE3UD5OjOe8y1gb6WOOlwtjhdOlrv94pR5/H4XI61Hn8E5lzhijjohFe52WPrgh43QkTJnjmPi5YsEB5eXnh3Hbc6vnafW7rp3qvutHwuckS1IeDkdeXSVLp0EEaXZiTEO+P0cQ8RgAAAABAsjCcHn7++ed66KGH9Omnn3od+9Of/qSVK1dq1apVGj9+fFg3CACIjFSqfgunUCtKE/HD5GjOu4y1gT7WeKkw3lp1Ukcb2iRJF86eUHtNpdqrK9V2dK9cHS3Kv/p2XTT/217npecXKX3Yxepq/EKSZM7O06DR03XVtQu1+ol7dckll/i8v3hpSxtJ7tfunytrQ2o1mixBfTgYeX25JD1565SEeo8EAAAAAAChMRRGtra26r777tOxY8fkcvn+JObzzz/X8uXLtW7duoSeEwQAqSKVqt/CKRUqSqM97zKW5pcXa9LwPB06cd7vmknD8/w+1nj4eTh37px+8fwf1LBlo9qrK9V19rjXmvbqSslHGClJ+VcskbOjVdmjK5RZcqlM5jQNH1fgN4iMl7a00RJqq9FkCerDIZXeSwAAAAAAgH+GwshXX31Vn3/+uUwmk6666iqtWLFC48ePV1pamo4cOaLnnntO27ZtU319vV5++WU98MADkd43AGCAUqn6LZxSoaK078y8aMy79MVf9d1wlyvM9x0safJ/PBY/D11dXXr//fdls9lks9n03nvvyeFwBDyns/5TOVrPKS1niNexvBlLev13IrSljSYjf7jhNpBwLRmrTePlvQQAAAAAAMSWoTBy48aNMplMuu6667Rq1apex2bMmKHnn39eP/jBD7R+/Xpt2LCBMBIAEgAVK/2TKhWlsZ53Gaj6bnxBlp60eM8/7I+tVSd16ERzwDWHTjT7bbMazZ8Hl8ulu+66S3/961917tw5w+eZB+Ure/R0OTvbfIaRfSVCW9poMvKHG279DdeSudo01u8lAAAAAAAg9gyFkUeOHJEkLV++3O+a+++/X+vXr/esBQDENypW+ieVKkpjNe8yWPXdkYYOPWE/rr9Nmzzgn8+BtlmN5s+DyWTS6dOngweR5nRlXTxZg0ZPV/aYGd2tV01mw/czqmBQXLeljbZgf7ghSUMGZej/v+NyLZgYehVjKlSbJuLsXAAAAAAAED6Gwsimpu4PRy699FK/a8aMGSNJam9v14ULF5SRkRGG7QEAIomKldBRURp5warvXJI+aegIS/XdQNushuvn4cKFC9q1a5dsNpvef/99/eUvf5HZ7B0gWiwW2Ww2r9snT56slsLL1FY8WVkjp8qcme21xmir0YnD8/2+9lOhTXFfwf5wY6CVi6lYbQoAAAAAAFKLoTCyq6tLJpMpYMCYnp7eaz1hJAAkBipWQhPvFaXJMHcumtV3A22z2t+fB5fLpU8//VQ2m012u12bNm3y/PGXJH300UeaPn261/1ZrVb94Ac/UGFhoSwWi+d/I0rLtGTltoAtZ7PSTWq7EDyNbO7o8nss1m2KY/XzHck/3EjFalMAAAAAAJBaDIWRAADgS/FaUZosc+eiWX0XjjarRn8ezpw5o02bNslut8tms6m6utrvNW02m88wcurUqdqzZ4+mT5/eq3Jy08f1QWdftl1wyWSSXAMIEmPZpjjWP9+R+sONVKw2BQAAAAAAqSWkMNJkMvbhqtF1AAAkqnirKE2muXPRrL4LV5tVXz8PFy5c0Ds73/aEj7t27ZLT6TS0L5vNpscee8zHfkyaMWOG1+1GqutMChxESsGDxFi1KU6mn+++Yl1tCgAAAAAAEGkhhZEVFRUBj7tDyEDrTCaTDh48GMrdAgCAIJJp7lw0q+8i2XZ3zZo1uvPOOw2vLyoqksVikdVq1eLFi0O6LyPVdS5Jg7PS1Nbp6HeQGKs2xcn0891XLKtNAQAAAAAAosFwGOkK9qf0AAAgZpJp7lzQ6jtJ4wqywlZ9N5C2u42NjWpvb1dpaanXsUWLFslkMvn9/1CZmZm69tprZbVaZbVaNW3atF6tV0NhtLpu7thC1Z1rG1CQGIs2xcn0891XrKpNAQAAAAAAosVQGPmd73wn0vsAAAADEMu5cw6nS1urTmpNZZ0amjtUkJulpRWlml9e3K9gKlj13biCLD1pGRHW0Mto290LFy7o3Xfflc1mk81m0+7du/Xggw9q1apVXmsLCgp0xRVXaPfu3Z7bpkyZ4gkfr732WuXk5IRl/0ar674+6xLNKy8acJAY7TbFyTxXMVbVpgAAAAAAANFCGAkAQBKI1dy5080dPkOU9XvrNLWsO0QpzA39PgNV35W4GqMWzLhcLn3yySee8HHz5s1qbm7utcZut/s9/84779SECRM8rVd9VVCGQyjVdfE279SIZJ+rGItqUwAAAAAAgGgJaWZkMmlvb9e2bdu0Y8cOffTRRzp27Jg6Ojo0ZMgQTZw4UTfddJNuvvlmpacH/hbV19frN7/5jTZv3qwTJ04oJydHkyZN0te+9jXdcMMNhvby5ptv6pVXXtGhQ4fU2tqqESNGaMGCBbrnnntUUlIS9Pxw7AEAkNhiMXfO4XRp2epdOlDX5Ll+z68H6pq0bPUurV0xt98Vkr5Cs8OHzwxo38E0NjZq48aNstlsstvtOnr0aMD1n3zyiaqrqzVmzBivY48++mikttlLslfXpcJcxUQMiQEAAAAAAIxI2TDymmuuUWtrq9ftp0+f1o4dO7Rjxw7913/9l5599lkVFfme0VNZWakHH3xQZ8+e9dzW0dGhnTt3aufOndq8ebOeeuopmUy+P/hzOp364Q9/qHXr1vW6vaamRr/97W/1+uuv67nnntP06dP9Po6B7gEAkBxiMXdua9VJ7att8nvc6ZL21TZpW9WphAhYfv7zn+u1117T+++/H9Ks7KlTp6q+vt5nGBlNyVxdx1xFAAAAAACAxGWO9QZipbW1VVlZWbr55pu1cuVKbdy4Ue+9955effVVLVmyRJK0b98+Pfjgg3I4HF7nNzQ0aMWKFTp79qyGDh2qp59+Wjt27NCbb76pf/iHf5Akvf766z5nSLn96le/8gSRN9xwg15//XW98847+tWvfqWysjKdOXNGK1asUENDg8/zw7EHAEBycFfGXVaaL6m7Iq7n10hUxq2prFOwy5lN0prK2rDdZyTt2rVLu3btChpElpSU6K677tLvfvc71dXV6aOPPtLVV18dpV0G5q6uW/mNCv3hvqu18hsVWjixf7M740ksfr4BAAAAAAAQHilbGXnXXXfpoYceUkFBQa/bhw4dql/84hcaMmSI/vCHP2j//v3629/+pptuuqnXul//+tdqaGiQ2WzWr3/9a0/1YlFRkX7yk5/I6XTq5Zdf1gsvvKA777zTq7ry5MmTeuGFFyRJCxYs0DPPPOOpXly0aJHKy8t188036/Tp03r++ef1ox/9yOsxDHQPAIDE4nC6tLXqpNZU1qmhuUMFuVlaWlGq+eXdYVO0K+MamjsCzvCTuqsjG1o6wnq//XH69Glt3LhRmzdv1sqVK5WZmem1xmq16rXXXvO6PTs7W9dee62sVqusVqumTp1Kx4EYSObKTwAAAAAAgGSWsmHkj3/844DHH374Yb388styOp3avn17rzCys7PT82HlokWLfLZR/e53v6s//elPam9v19q1a7V8+fJex9euXav29nZJ0iOPPOL1oebIkSN1xx136KWXXtJrr72mRx99VBkZGWHdAwAgcZxu7vA5D3D93jpNLeuuCivMzYrq3LmC3CzPXvwxm6SCwVkR30tfnZ2d2rlzp2fu4549ezwVj9/85jc1b948r3MsFovn39OmTfOEj3PnztWgQYOitnf4x1xFAAAAAACAxJOybVqDueiiizxVk6dOnep1bM+ePWpubpYkXX/99T7PHzZsmK688kpJ0ubNm72Ob9myRZI0evRoTZw40ec13Nc+f/68du/eHfY9AAASg8Pp0rLVu3Sgrns+ozv8c389UNekZat3yRGsTDHMllaUGqqMXFpRFvG9uFwuHTp0SP/+7/+um266ScOGDdPChQv1r//6r9q9e3ev1qt2u93nNcaMGaNXX31Vx48f1969e/X000/LYrEQRAIAAAAAAAADQBjpR1dXl86dOydJGjx4cK9jBw4c8Pz78ssv93uNadOmSZIOHTrU63b3B6Y91/gydepUpaWlSZIOHjwY1j0AABLH1qqT2lfb5Df4c7qkfbVN2lZ1yveCCJlfXqypZfl+50aaTNLUsnzNK49Mm/BTp07pj3/8o+655x6NHDlSkydP1ve+9z298cYbamlp8XuezWbze+z222/X8OHDI7FdAAAAAAAAICWlbJvWYLZu3arOzk5J8mqBWl1dLUkym80qLS31e42LL75YktTa2qr6+nqVlJRIkurr69Xa2iqpux2rP5mZmSoqKtKJEyc89xmuPQAAEseayjpD7VDXVNZGtX1lmtmk1ctm+Wwf63RJU0q728f2nOUXbO6lUbt379Zdd90V0n6nT58uq9Xqt6MAAAAAAAAAgPAjjPShq6tLv/zlLyVJOTk5uuWWW3odP3v2rCQpPz9f6en+v4XuNq+SdObMGU8Q6D5f6m6lGkhBQYFOnDjR65xw7CEUDodDhw8fDvm8VOEOlvkeAYiUYyfPGGqH+vnJMzF5L3pqcZH21A7Wxs/O62ybQ0MHpWnRpXm6oixHDbU1avj7urNtXXrCflyfNHR4zb0cX5ClJy0jNHTQl7/TXC6XWltbvToUtLa2asyYMcrIyNCFCxf87quoqEhz5szRnDlzdM0116iwsNBzjPdsADCO/78LANHF+y4ARBfvu0BgDofD08Wzvwgjffj5z3+uqqoqSdI//uM/9gr0JKmtrU2SlJWVFfA62dnZnn+739D6/jvYNdzHe54Tjj0AABLH0Ow0Q5WRQwcN7P8U9Fea2aRZIwdr1sjBftc4nC49YT+uIw0dkrznXh5p6NAT9uP637Nz9N6772jnzp16++23dfXVV+upp57yut6gQYN0xRVX6N133/Xclp2drSuvvNITQI4bN04mk/9qS4fTpd21rdr06XmdbXdoaHaarhubp5llOSFVaQIAAAAAAADwjzCyj3Xr1umll16SJF199dW67777Yryj2EtLS9OECRNivY245f6LGb5HACLlW66h2lK9O+Aap0u6e94kTZgQvTatodj0cb0+afjU63ZX1wW11x5Ue3WlttVU6trHeq957733VF5e3itUdL/vLl26VJ2dnbJYLLJarZo9e3avP8IJ5HRzh8/2sluqmzW1rLu9bGFu4D/4AYBUwf/fBYDo4n0XAKKL910gsA8//HDA1yCM7OGdd97R448/LkkaP368Vq5cKbPZ7LVu0KBBkqSOjo6A12tvb/f8Oycnx+e/g13DfbznOeHYAwAgccwvL9bUsnwdqGvyWR1pMnXPZ5xXXhT9zRnknnvpcLp04fTnaq+pVFt1pTqO7Zery//vshMnTuibP39Vy2+Z7zVX8gc/+IEee+yxgPfra0blLZeX6pcbDuvg8fOSvKs0D9Q1adnqXVq7Yi4VkgAAAAAAAMAAEUb+3YEDB7RixQpduHBBZWVlevHFFzVkyBCfa4cOHSpJOn/+vLq6uvzObGxsbPT8+6KLLvI6v++aQNfoeU449gAASBxpZpNWL5vls5LP6eoOIlcvmxXXwdlHb2/Qya1vqb2mUo7mwL/7ejKlZ2nTu5V658xgT8Wi51iAFqyS/+rH9XvrAp7ndEn7apu0reqUFk7sXWnqK9xcWlHqFZQCAAAAAAAA6EYYKammpkbLly9XS0uLCgsLtXr1apWUlPhdP2bMGEndQzuPHz+ukSNH+lz3xRdfSOquSOx5vZKSEuXk5Ki1tdWzxpfOzk6dPHmy132Gaw8AgMRSmJultSvmalvVKa2prFVDS4cKBmdpaUWZ5pUXxX0QdnLfdrXs32hobWbJWGWPqVD26Apll02WKT1D0pcVi08tDv54HU6Xlq3epQN1TZK8qx+DMZukNZW1vcLIQOEmrV0BAAAAAAAA31I+jKyvr9c999yjhoYG5eXl6cUXX9SoUaMCnnPZZZd5/r13716/QeBHH30kSZo0aVKv200mkyZNmqQ9e/Zo7969fu9n//79cjgckqTJkyeHdQ9ALFBRBAxMmtmkhROLvar1Ys3lcunAgQOy2Wy6//77lZub67Xmtptv1E+3rfd5flpeobJHT9eg0RXKHj1daTm+OxO4Kxb31A7WrJGDA+5pa9VJ7attCv3B9LivhpYv28cGCzdp7Rp+/M4AAAAAAABIDikdRp47d0733nuvamtrlZ2dreeee04TJ04Met4VV1yh3NxcNTc366233tKSJUu81jQ2NmrXrl2SpIULF3odX7Bggfbs2aOamhodPnzY53Dct956S5KUl5enmTNnhn0PQDRRUQQkl/r6em3YsEE2m012u13Hjx+X1D3s/aabbvJa/42lN+mnj3b/25SRpexLpv09gJyh9IKLZTablJ+drvPtXQGrF80maeNn5wOGkQ6nS89t/WxAj89skgoGf/meFCzcDNTaFaHjdwYAAAAAAEDyMMd6A7HS1tamBx54QJ988okyMjK0cuVKr8DPn8zMTN12222SpI0bN3qqD3v6j//4D124cEHZ2dm69dZbvY7feuutys7OliQ988wzXse/+OILvfLKK5Kk2267TRkZGWHfAxAtRiuKHEb7JwKIura2Ntntdj322GOaPn26hg8frrvuuku/+93vPEGkJNntdq9zHU6X/tdfazRs0XKVfONfNPK7f1Tx7f9b+TNvUUbhSJlMJmWnmzW+OC9oG1WnSzrT2uX3+OnmDt26aod2VRufS+nvfpZWlHn+e01lnYIV47lbu2Jg+J0BAAAAAACQXFIyjHQ4HHrkkUdUWVkpSfrJT36imTNnqqWlxef/2travK7xwAMPqKCgQA6HQ/fff7/Wr1+v06dPq6amRk8++aT+8Ic/SJKWL1+uoqIir/OLi4u1fPlySdLmzZv1yCOP6PDhw2psbNTmzZt19913q7W1VYWFhbr//vt9Po6B7gGIFndFkb/PjXtWFAGIDy6XSx999JH+7d/+Tddff72GDRsmq9Wqp59+OmCLcZvN5nWb+z0gb+Ytyr5kmmcGZE9tF5xKM5uCBjJ2pqoAACAASURBVH6S9Gljp862eQeSfUOs/jKZpKll+ZpX/uXvzobmDkNBac/WrugffmcAAAAAAAAkl5Rs03r8+HFt3rzZ898//vGP9eMf/9jv+rKyMm3atKnXbQUFBVq1apUefPBBnTlzRo8++qjXebfccotWrFjh97oPPfSQjh49qnXr1umNN97QG2+80ev40KFDtWrVKhUUFPg8Pxx7AKLBXVEUrPXimspa2hsCYdafuXtHjhzRtddeqxMnThi+n8GDB2vBggWyWq1yOp0ym7/8eyej7wFS4DVuLZ1OPWE/rr9Nm9zrMfR3TmTPNqBOlzSltLsNaM9rF+RmGXoMPVu7on/4nQEAAAAAAJBcUjKMDJeKigqtW7dOL774orZs2aITJ05o0KBBmjRpku68807dcMMNAc83m816+umntXDhQr3yyis6dOiQ2traNHz4cC1YsED33nuvSkpKIroHIBqoKAJiI9DcvSmlebp37qXadPiUV0g5atQotbS0BLy2yWTSzJkzZbFYZLVadc011ygzM9PnWqPvAWnm7orE/bVNCrTcJemThg6v+YxGQqwv9y9dNiJfjywu1+t769TQ0qGCwVlaWlGmeeVFXkHt0opSrd9bF/Qx9Gztiv7hdwYAAAAAAEBySckw8uKLL9bhw4fDcq2SkhI9/vjjevzxx/t9jRtvvFE33nhjTPcARBIVRUD0+Zq753K51H6yWm3VH2pjTaU2P5evklt+0CuknFrWXRV43XXX6fXXX+91zUsuuURWq1UWi0WLFi3yW7nfl9H3gMLcbK38xmQt+sUWnfPRhrXv+r6VcUZCLDd39WNhbpYWTQ78hz+SNL+8WFPL8nWgznf7UJOp+5o9W7uif/idAQAAAAAAkFxSMowEEF1UFAHR525Z2tXcqPaaSrXXfKi2mko5W8561pgyc+RwOGQyp3mCnwN1TVq2epeut1i0ceNGLVy40BNAlpeXy2QyMNSxD6PvAfVN7fruy5VKTws+0tpXZZyREEuSrhozTP+1/Gq/bWp9STObtHrZLJ+Vpv5au0ZLf1rxxjN+ZwAAAAAAACQXwkgAEUdFERA9ra2t2r59u/7Xyt+r7v0dunCqxu9aV2erOo9XKatskuc2p0vaV9ukFV9fosbG+5WRkTHgPQV7D3B7v6bRcGWjr8o4IyGWJD04f2y/QrrC3CytXTFX26pOaU1lbdDWrtEQqBWvu8q1MDexKgj5nQEAAAAAAJBcCCMBRFw8VxQByeDgwYP6y1/+Irvdru3bt6ujw/gsvfYvDvYKI6Xu1+Ybhxr1lemjPLcNpPrO33uASeo1G9JoEOle27cyLhohVprZpIUTi3u1h40VX614e351V7muXTHX73MUj1WV/M4AAAAAAABILoSRAKIiHiqK4vFDdyAcfv3rX2vlypWG1poyByn7kmkaNKZC2aMrlH5Rqdeavi1QQ6m+C/Q66/se0OVw6b3qxpAfr0nSuIIsr1Ax1UIsdytef9xVrtuqTvkMT+O5qjIefmcAAAAAAAAgPAgjAURNLCuK4vlDd8CXnqFefcNZtR87oHu/atGSK8u9ghiLxeI/jDSZlTl8/N/Dx+nKKp0oU1rgX/89W6CGUn13prUz6Ous53vAwy9XGprx2HNfTld3EPmkZYTPQCqVQqw1lXVBv39mk7SmstbrfTccVZWRFk9VqAAAAAAAAOg/wkgASS8RPnQHejrZ1Kbbn/yD9u16W+01H6j9i4OSo0vvHPqBrrb8D6/wfMGCBcrIyNCFCxckSaNHj5bFYtEHjpE6lV8uU1ZuSPffswWq0eq7LR+f1C83VoX0Omto7jAURBbmZmrC8DxPqFjiagz4Wk2VEMvI969vlavbQKsqAQAAAAAAAKMIIwEkPT50RySEu+3vF198IbvdLpvNrj+vf0OdLee81rTVVOpA3XyvUC83N1ePPfaYSktLZbVaNXbsWJlMJp8VwX3nNPbVd66i0eq757d/FvLrrCA3y9C1Z48t1MpvVHhuO3z4TIBHkDqMfv/cVa49DaSqEgAAAAAAAAgFYSSApMeH7gi3cLT9bWlp0bZt22Sz2WSz2XTw4MGg99teXSmH06V9tU36Pxs/0cOLxnsCySeffNJrvb+WpYsmFuuF7Z9pf13wuYpGq+8+PdUc8utsaUWp1u+tC3ptd5UmehvI928gVZUAAAAAAABAKAgjASQ9PnRHOA207W9jY6Nuv/12vf322+rs7DR8v+lDSpQ9ZoZcXR0yZWTrlxs/0caP64MGn/5ali65vNTQXEWj1Xc9vwf+9H2dzS8v1tSyfB2oa/J5bt8qTfQ2kO/fQKoqAQAAAAAAgFAQRgJIenzojnAaaNvfiy66SAcPHgwaRJoyc5Q9+nINGl2h7NEVyrhohNeagcw7NTpX0Wj13diiXDW2NIb0Okszm7R62SyfVaa+qjTR20C+f1SlAgAAAAAAIFoIIwEkPT50RzgFavvr7GxT+7H96qj+QA/velH7N/3Za43JZJLFYtHvf//73reb05Q5olzZfw8fs0rLZTKnBdxLNOadzh1XpEEZZrVdcPpdMyjDrHvmjtF71Y0Br+XrdeavlayvKk146+/3j6pUAAAAAAAARAthJICkx4fuCKeebX9dLqc6T3yq9ppKtdVUquOLQ5KzS5J0KD1Tra2tysnJ8bqG1WrV73//e40dO1ZWq1XDJ12p//w0R+bs3JD3E+l5pzuOnAoYREpS2wWn0k2mfr/OjFZpwrf+fP+oSo0uh9OlrVUntaayTg3NHSrIzdLSilLNLy/2+T0OdT0AAAAAAEA8I4wEkPT40B3hlNlxRi0f2dRaXan2o3vlbPPdstXZ1ant27fr+uuv9zp2yy236MiRIxo7dqwk6eGXK5VeVxd05qLP+4nwvNNAlaBuZpP0+t46n68zkySXpPzsdGVnpOl7//0hoUqcoCo1Ok43d/j8/bN+b52mluV7zX0NdT0AAAAAAEC8I4wEkBL40B391dzcrC1btshut8tms+njjz82fK7NZvMZRubn5ys/P9/z3z2rLUMV6XmnRvbmDkT7vs6On2tTVX2zzrVd0Pn2Lr1fc0Zm0xlClThCVWpkOZwuLVu9Swfquv9owf1acn/tO/c11PUAAAAAAACJgDASQMrgQ/feaANozM9+9jP99Kc/Nbw+/aIRKrvsKj3zz3fruusWGjqnIDcraPWhP5Ged2pkbz0DUffrbF55kW5dtUPn2y949tnzK6EKUsHWqpPaV+u7elrynvsa6noAAAAAAIBEQBgJACmINoC9HT16VEOGDNHQoUO9jlmt1oBhpDlrsLJHXa5Bl85Q1qjpmnFZecjfv6UVpVq/ty7kfUdj3qmRvfkKRJMlVCG0x0AYbXPsnvsa6noAAAAAAIBEQBgJACmGNoDS+fPntWXLFtlsNtlsNlVVVen555/X8uXLvdZeffXVGjx4sFpaWiRJaWlpuuaaa7TYYlHRhCt18EKhzrQ7BtT2d355saaW5QcM73yJxrxT994O1DX5DEj8BaLJEKoQ2mOgQmlz3J/1AAAAAAAAiYAwEgBSTLJUrIXC4XBoz549nvDxnXfeUVdXV681NpvNZxiZmZmpu+++WyaTSVarVQsWLOg17zEc0swmrV42S/N/vlktnY6g6wtzM/X07ZdHZd6pe2++Qjmny38gmuihCqE9wiHUNsehrgcAAAAAAEgEhJEAkGKSoWLNiKNHj3rCx40bN+rMmTMB12/YsEEOh0NpaWlex1atWhWpbXoU5mZp4cRi/fWj4wqU4ZlN0uyxhVF9bgpzs7R2xVxtqzqlNZW1amjpCFoJmuihSiqG9gi/UNsc97ctMgAAAAAAQDwjjASAFJPoFWuBdHZ26p//+Z9lt9tVVVVl+Lz09HRNnTpVp06d0vDhwyO4w8C+OqNMf/noeMA1sQoi0swmLZxYbDh4S/RQJZFDe+Zcxo9Q2xz3ty0yAAAAAABAPCOMBIAUk+gVa4FkZmbqrbfe0pEjR4KunTBhgiwWi6f1al5enudYrMKcZAoiEv2xJGpoz5zL+BJqm+P+tkUGAAAAAACIZ4SRAJBiErlirbq6Wna7XZ999pl+9rOf+VxjsVh8hpHDhg3TokWLZLVaZbFYNGrUKJ/nxzLMSaYgItEfi9HQvsvh0sMvV8ZFBSJzLuNTqG2O+9MWGQAAAAAAIJ4RRgJAiglHxVq0KgfPnTunzZs3y263y2azeUJGs9msxx57TMOGDfM6x2q16tlnn1V6erpmz54tq9Uqq9WqGTNm+JwH2fdxxTrMSaYgIpEfi9HQ/r3qxripQGTOZfwKtc1xqOsBAAAAAADiGWEkgIhjfll8GWjFWiQrB7u6uvT+++/LZrPJbrfr3XfflcPh8FrndDq1adMm3X777V7HFi1apPXr12v+/Pm9Wq8aEckwx/06+PMHtfr0VLPOtXUpPztd44pz9dUZZb1eD8kURCTqYwkW2vcULxWIiTznEgAAAAAAAMmLMBJARDG/LD71t2ItEpWDn332mWw2m2w2mzZt2qRz584ZOs9ms/kMI/Py8rRkyRJD1+grUmFOz9dBT3WSPj5xXn/56DivhzgTLLQPJFYViIk65xIAAAAAAADJjTASQMTEQ8tLdAtUnRpKWBLuysFVq1bpO9/5juH7z8jI0Jw5c2S1WnXTTTcZPs+oSIQ5fV8H/uyv5fUQb/yF9iea2vV+daMC/ajEogLR6JzLgsEE3gAAAAAAAIgewkgAEcP8svgQzurU/lQOdnV1qbOzUzk5OV5rZ8+eHfQ+J02a5Jn7OG/ePOXm5hraa39EIswJ9jpwc4nXQzzy1Wb2my+8GzCIlGJTgWh0zuXSirIo7QgAAAAAAACQzLHeAIDk5Q6uAnEHV4gMo9WpjmDlgH9ntHKwpvpTPfvss1q6dKkKCgr07LPP+lx7+eWXq6ioqNdtBQUF+vrXv67f/OY3OnbsmA4ePKhf/vKXuvHGGyMaRErdYY6Rx/fJyfN6+OVKbfq4Puj3zsjrwC0SrweH06VNH9fr4Zcr9c0X3jW870hfK5G5Q+tAYlGB6J5z6W9vJpM0tSxf88qLfC8AAAAAAAAAIoDKSAARw/yy2At3daq/ykFne7Paj36ktpoP1F5dqaPn6rW+x3G73a7vf//7Xtczm8266aabdPToUU/14/Tp02U2d/+tjDv88tVeNhKtTN1hzoG6poA/u4eOn9fhE+cNVZcaeR24OV3dlazhEs6qWOa/fileKxCDzbmcUtr9PNEGGAAAAAAAANFEGAkgYphfFnv9aasaiDuEcTm61HG8Su3VlWqr+UCdxz+RXE6/523dulXt7e3Kzs72Ovab3/xGJpN3OBKL8MtfmOOL0dmnRl4HPR2oO6fTzR0DfmzhnNnK/NfegoXWJlN38BeLCkR/cy6XVpRpXnlRSjw/AAAAAAAAiC+0aQUQMUZbXjK/LHLCWZ3qcrl0aONran/jZzq28huq/8NjOrfzZXXWHQ4YREpSbm6ujhw54vOYryAy3O1lQ+EOc1Z/+0otmVaqSSPyAq7vWV3qi5HXQU9NbV1heWzuqthAYWqgfUfqWsnAHVpfVpovSZ62qO6vsa5AdM+5XPmNCv3hvqu18hsVWjgxMtXEAAAAAAAAQDBURgKImHiuHkoV4axONZlMevHF/1T9vsqgazMzMzV37lxP69XLL7/c03q1J4fTpa1VJ73asDqdrrC2lw2VO8xZOLFYD79cqcMnzve7utRo61c3l8Lz2MJZFRvuCttkQAUiAAAAAAAAYAxhJICIYX5Z7IUy2+7ChQt677339P777+uRRx7xudZqtaqy0ncYOWb8RN1801f0leuv17x585STkxPwfgO1YR0yKEMmdQdz/kQr/BpodWnf14ER4Xhs4ayKZf6rbz1D6/7yF8hHai4qAAAAAAAAEG2EkQAiiuqh2ApUledyueQ4W6eLGg/pmcee1y1bNuv8+fOSpDvuuEMXX3yx1/WsVqueeuopSdKg/GEqnnSlxlXM1v3fuEW3zZ1m+PkM1ob1XNuFoNeIVvgVjurSnq+DR1/dq4aWzoD3GY7HFs6qWOa/RkYs5qICAAAAAAAA0UYYCSDiwlE9hP7pW5Xnaj+v1pq96qipVGt1pRxNJ1UraX+f8+x2u5YtW+Z1vQmXz9TEmx/UuWGTlVUyWi6Z9ZlJeuyNL/R/9zYZDk/cMwgHIlrhVyjVpYG4XwezxxXqrx/VRSzYc1fa1Te1h21ma7i+B/iS0bmoa1fM5Y82AAAAAAAAkNAIIwEgiXV2durgB+9p6om3dOTNN/Xxvg8lV/DBhTabzSuMdDhdevC/9qpj8hJlur5sodqf8MTIDMJgQgm/BtIK08jMx1EFgzRnXKGhvUQy2OtbaRdIKDNbmf8afsEC+UjPRQUAAAAAAACihTASAJLUX//6V339619Xc3Oz4XOKi4tlsVi0dOlSr2PhDE+MzCAMJJTwa6CtMI3MfDza0Kbbnn3bUGVopII9f5V2XtdXd5AcyszWSMx/TfVZiUYC+WjNRQUAAAAAAAAiiTASABKcy+WSyeQd3pSXlwcNIrOysjRv3jxZrVZZLBZNnTpVZrPZ59pwhidGZxDmZafrXFtXv8OvcLXCLMzN0mv/OEeWZ7bqaEOrzzVGrxWJYE8y3vp21phhenD+2JBmtjqcLn30xVmNKhisLodLTe1dyh+UrnFFufrqjItDnv/KrERjgXy05qImulQPtgEAAAAAAOIdYSQAJJjOzk698847stvtstlsWrJkiX7yk594rRs3bpxGjx6tmpqaXrcXXDJeixYv1rfvuEUL5s/ToEGDDN1vOMMTo61Kf/G16UozmbSmslYNLR0qGJylpRVlhsOvcFZz7jhyym8QGeq1CnOztHbFXG2rOuX3sYUasBgNi0vys0OqtPMXHNaeldLNJk29eEjIFZHMSjQeyEdjLmoiI9gGAAAAAACIf4SRAFJGJKtnAl1b0oDu1+Vy6fDhw7LZbLLb7dq8ebNaWlo8x9PT032GkSaTSfMWLtLx19YofeTlyhkzQ1mjpisj7yK955JaP8nRlXPNMhZFhjc8MdqqdOGE7u9Rf9tUhrOa888f1HpanA70WpI8j8vX2v4ELJGotItEcMisxG6RnB2aKgi2AQAAAAAAEgNhJICk1TMgPH62TZ+cbNa5tgthr54JFBxNGp4nyaVDJ5pDut/Tp09r48aNngDy2LFjfu9/165dOnv2rIYOHer1+E9OvkMjim+VS19+EN/fD+rDGZ5EqlVpX+EK6E43d2jzxycDBpFGrxVMfwOWSFTaRSI4ZFZit0jNDk0lBNsAAAAAAACJgTASQFLqGRD2rWYLZ/VMsODo0Inzhu93+/btevPNN2Wz2fTBBx/I5QoWff19Dw6Hdu3aJavV2uv2rVUndeh0lyTfjynUD+rDHZ4YaVU6UOEI6NzPcUunI+j9ua/VMwg/fb5djr/ff5rJpMK8wJWx/Q1YIlFpF4ngkFmJ3aIVyCczgm0AAAAAAIDEQBgJIOn0DQiNVLP1t3omWHAUyv0+8cQT2rZtm6Fzhw8fLqvVKovFosWLF2v48OFea8L9QX0kwpNArUrDIRwBXSjPsdMlXTepWLeu2uEzCJeCV8b293mLRKVdJIJDZiV+KRqBfLwKR9tsgm0AAAAAAIDEQBgJIOn0JyDsb/WMkeDIzdF6Tu2f71POhDkymUxe92u1Wv2GkdnZ2Zo/f74ngJwyZYrnGv5E4oP6RAtPggV0kjSqYJDmjCv0e41QnuMppfn6z22f6uDx7opYX6cEq8jt7/MWibA4EsEhsxJ7i3QgH4/6MxPVF4JtAAAAAACAxEAYCSDphBIeufW3eiZQcOTquqD22oNqr6lUe3WlOus/lSSV3vusMgpHet2v1WrVE0884Tl/+vTpslqtslqtmjNnjrKzs0PaW6Q+qE+k8KRvQOfL0YY23fbs234DECPhoCQNzkrTfdeO0ff+e6+hvfmryB3I8xbusDgSwSGzElNbf2ei+kKwDQAAAAAAkBgIIwEkHaPhUU/9rZ7pGRy5XC5dOP252msq1VZTqY5j++W64B1wttV84Akje97vjBkz9MADD2jevHlavHixiosHFval6gf1vto/PrxwvH76xiEdbWz1eY47AHntH+dox5FTvc7tcrqChoMmk3TdhGJt/PhUSEG4r4rcgT5v4QyLIxEchlrB6ev5vLLIpZllOQN+fIi+/s5E9YVgGwAAAAAAIDEQRgJIOkYqy/rqbyi3cFSm/vjyVrVVV6q95gM5mhuDntNe86HyZ97idb9paWl67rnnQt6DP6n4QX2g9o+BuAMQyzNbdLShzSsgC8blkr4642K9sP2zAVfkGnneLhuRL4fTqYdfruz3vD0jItH6VTJewen3+XRJ4wuy9PLIMYbaeSI6jMyBDOcs20j9fAIAAAAAACC8CCMBJB0jlWU99SeUq6ys1L333qvKysqQ9pZZMlaZI8r7fb+hSLUP6oO1fzTiaENbyOf2fB7/XFkbchDe5XDJ4XR5nodgz9vEkjw5nE7d97s9A5q3Z1Sk5oQGq+AM9nweaegw3M4TkWd0DmS4Z9km2hxbAAAAAACAVEQYCSDpBKsscxtIKDd8+HBDQWTWkCIVTpipjpIpyhkzXaZBQ6IaBqbSB/XB2j+GS6BQN9QgXJLeq27Urat29AoR/T1vN08v1S/th3XweLOkgc3bC0Us5oQGez5dMt7OE5EVyhzISMyyTaQ5tgAAAAAAAKmIMBJA0vFXWWZSd4AxZFC6JpTka/iQbJ+hXH19vTZs2CC73a7y8nI9/vjjXvcxYsQITZ06Vfv27et1e3pWtorLZ2js9Nla9rWb9T9vmCOTyRTTMDBVPqhfU1nneY4jJSczTYsmFquxtdPn82g0CO/LV4jo63nb9HG99ted93udUObtxbtwtvNEZIUyBzJVZ9kCAAAAAACkMsJIAEkplIrA9vZ2bd6xQzabTXa7XR9++KHn2JQpU3yGkZJktVq1f/9+zZgxQ1arVVarVddcc42ysrwreuaVF8kll9ZU1ul0c4f+XFkrl1xhn/GXyo6fbYtoEClJrZ0OfXXGxX7Dr75BuNFw1GiImEoBXbjbeSJyQvm5fObO6Sk3yxYAAAAAACDVEUYCSFr+KgJdLpf27dvnCR+3bt2q9vZ2n9fYv3+/6urqVFpa6nXs+9//vn74wx+qqCjwh+ZGZ6mh/xxOlz452RyV+woW9PUNwk83t+vwiWY1tHQGvK6REDGVArpItPNEZITyc5lqs2wBAAAAAABAGAkgRdTX18tut3v+d/z4ccPn2u123X333V63jxgxIui5ocxSi+aH7w6nS1urTmpNZZ0amjtUkJulpRWlCVupubXqpM61XTC8vm8AMqogR0cbWg2dayTo6xuEf/OFd7Xz04aA5/QNEX09R11OV9Bqy2QJ6GjnmThCDY5TaZYtAAAAAAAACCMBpIj77rtPf/nLXwytNZlMuuKKK3q1Xu2vUGapRautZjJWahppEyl1zwv9xdema92Hdb0CkDnjCnXlT+0619YV8Pz+Bn2hhjX+niMjcyiTJaALNn/TJGlKGe0840F/guNUmWULAAAAAAAAwkgAScLdevWyyy5TWlqa13GLxRIwjBw5cqQnfFy0aJEKCgrCsq94m/EXq0rNSFdiGmkTKUkTSvK1eFKJFk8q8Tr2/908Rd/77w99nPWl/gZ9oYQ1wZ6jQJJp3l6wdp7jCrJo5xknggbHSfRzCQAAAAAAgNARRgJIWMePH9eGDRs8sx/r6+v13nvvadasWV5rrVZrr/8ePHiwFi5c6Akgy8vLZTKFP9SItxl/sajUrG9q19d+/U6vNqimMFdiGq08HD4k2+/x/3F5qf5z+2c6UNfksw3qQAKVUMKaYM9RT8k+b89fO88ri1y6oiwn4Sp4kxVzIAEAAAAAABAIYSSAhNHW1qbt27fLZrPJZrNp3759XmtsNpvPMHLChAlasmSJLr/8clmtVl199dXKzMyM+J5Dbc8ZadGu1Kxvatf8n29Se1fvO3T9/T/3h6kSMxzzBdPMJv32nvAHKu6q0BFDBumz0y1q6XB45j76urbR5+jK0cNUkp+d9PP2fLXzPHz4cAx3BF+YAwkAAAAAAAB/CCMBxC2n06l9+/Z5wsft27eroyNwBaHNZtMTTzzhdbvJZNL69ev7tY+BtBgNR0gWTtGs1HQ4Xbrt2be9gsieXGGqxAxXm8hwByq+Zj+aTN2Pe3BWmuaOLdTXZ13S69pGn6P0NJNWfqMipP0AkcQcSAAAAAAAAPhCGAkg7hw7dkw/+tGPtGHDBtXX1xs+Lzc3V8XFxXK5XGFrueorTDKH0GI03mapRbNSc/PH9friTLuhtQOtxAxnm8hwBSr+Zj+6q0LbOh2qO9fmFXLGWzUtAAAAAAAAAAyEOdYbAIC+8vPz9cc//jFoEGk2m3XVVVfpiSee0LZt29TY2Kg//elPYQsi/YVJ7q8H/t5i1BEgNXKHZJeV5nfv+e9bc3+N9iy1pRWlhqruwlGp+fz2asNrw1GJ6a5qXP3tK7VkWqnmjCvQkmmlWv3tK7V2xdyozxd0z3709/3uOZ+zp2g+RwAAAAAAAAAQaVRGAogqp9OpvXv3ymazKTs7W//0T//ktWbIkCG66qqrtHPnTq9jo0aNktVqldVq1XXXXadhw4ZFbK/uMMkfp8EWo/E0Sy2alZqfnWo2vNZIlZ+Rdrnx1Cayv/M5462aFgAAAAAAAAAGgjASQMTV1tbKbrfLZrNpw4YNOnWquxJs1KhR+u53v+uzktFqtWrnzp3Ky8vTwoULPQHkuHHjwlb5GEx/wyRf4iUkC2c703AKVuU30Ha5sdDf+Zzx+hwBAAAAAAAAQH8QRgIIu5aWFm3btk02m002m00HDx70ue7o0aM6cuSIxo8f73Xs7rvv1qJFi3TVVVcpIyMj0lv2wYzHawAAIABJREFUqb9hUryLVqXmpUW5Ot3cGHRdTmZawCo/o+1y166YG1cB3UBmP8ZTNS0AAAAAAAAADARhJIABczqd+vDDDz3h49tvv63Ozk5D59psNp9h5OjRozV69Ogw7zQ0AwmT4l00KjXvv/ZS7aoOHkY+eeuUgOFauNrlRtvSilKt31sXcE2g2Y/xUk0LAAAAAAAAAANBGAlgwO6//369+OKLhtfn5+fruuuuk9Vq1ZIlSyK4s4EZaJgUK0ZmK0bDwonFmjQ8T4dOnPe7ZuLwPN0yPfD3L5ztcqOJ2Y8AAAAAAAAAQBgJwKCWlhZlZmb6bJk6d+7cgGGk2WzWVVdd5Zn7OGvWLKWnx//bTyKGSfE0WzHNbNL/ve8qffs3u7S/zruycUppvn57T/DZh4naLpfZjwAAAAAAAABAGAnAD6fTqcrKyl6tV998800tWrTIa63FYvG67dJLL/WEjwsXLtTQoUOjse2wSrQwKR5nKxbmZun17wxs9mEitcv1VZX6T4vGSyaT1n1Yx+xHAAAAAAAAACmHMBKAx7Fjx2S322Wz2bRhwwY1NDT0Om6z2XyGkWVlZZo9e7ZKSkpktVplsVg0duzYaG077PoGSqMKBmvRpGJ9erJFja2dcRsmGZ2tuOT/bNe44ryotW4d6OzDRGmXG09VqQAAAAAAAAAQLwgjgRTW3NysrVu3eqofP/7444DrbTabnnrqKZ/HduzYIZMpfoK5/vIXKDldivtAychsRUk6dPy8Dp84nzAhWSK0y43HqlQAAAAAAAAAiAfmWG8AQHQ1NTXpX/7lX7RgwQINGzZMS5Ys0cqVK4MGkVJ3eNnW1ubzWDIEkUYDJUewtC9GjMxWdEuUxyR92S73stJ8Sd3hcM+v8dAu112V6u/b6K5K3VZ1KrobAwAAAAAAAIAYozISSDGZmZl68skn/YaKPQ0ZMkSLFi3ytF699NJLo7DD2DHa5nRb1al+txyNJCOzFfuK98fkVpibpbUrBjZ7MpKMVKWaTdKaytq4/j4DAAAAAAAAQLgRRgJJ5vz589q6datOnz6tb3/7217Hs7OzNX/+fP3tb3/zOpaWlqZrrrlGFotFVqtVM2fOVHp66rxNJHqgZGS2oi/x/Jh6GujsyUgyUpXqdEkNLR3R2RAAAAAAAAAAxInUSRmAJOVwOLRnzx7Z7XbZbDbt3LlTXV1dKiws1Le+9S2Zzd7dmC0WiyeMHD9+vKfyceHChcrPz4/2Q4gbiR4oBZut6E88P6ZEYaQq1WySCgbH72xOAAAAAAAAAIgEwkggAR09elQ2m012u10bNmzQmTNnvNacPn1aH374oWbMmOF1bOnSpcrLy5PFYtHo0aOjsOPEkOiBknu24rLVu7Svtslwy9Z4fkyJwkhVqtMlLa0oi9KOAAAAAAAAACA+EEYmiTfffFOvvPKKDh06pNbWVo0YMUILFizQPffco5KSklhvDwPU1NSkLVu2eKofq6qqDJ1ns9l8hpFjxozR8uXLw73NhJcMgVLf2YqfnDyvQ8fPBzwn3h9TIghWlWoySVNK8zWvvCj6mwMAAAAAAACAGCKMTHBOp1M//OEPtW7dul6319TU6Le//a1ef/11Pffcc5o+fXqMdoiBevrpp/X444+rq6vL8Dnl5eWyWCy69tprI7iz5JMsgVLP2YoOp0u3rtqR8I8p3vmrSnV/nVKar9XLZinNbIr1VgEAAAAAAAAgqggjE9yvfvUrTxB5ww036MEHH1RxcbEqKyv105/+VLW1tVqxYoXWrVungoKCGO8WgbhcLplM3kHFpZdeGjSIvOiii7R48WJZLBZarw5AtAIlh9OlrVUntaayTg3NHSrIzdLSilLNLy8Oe1hFSBY9fatSG1o6VDA4S0sryjSvvIjvMQAAAAAAAICURBiZwE6ePKkXXnhBkrRgwQI988wznjBr0aJFKi8v180336zTp0/r+eef149+9KNYbhd9NDU1afPmzZ7Wq0899ZSWLl3qte66666T2WyW0+n03Jaenq7Zs2fLarXKYrHoiiuuUFpaWjS3n7QiHSidbu7wGQyu31unqWXdwWBhbnjnNxKSRU/PqlQAAAAAAAAAAGFkQlu7dq3a29slSY888ohXVd3IkSN1xx136KWXXtJrr72mRx99VBkZGbHYKiR1dXVp9+7dstlsstvteuedd+RwODzH7Xa7zzDyoosu0pVXXqmzZ8/KarXKarVq/vz5ysvLi+b2U0qkAiWH06Vlq3fpQF2TJHnaprq/Hqhr0rLVu7R2xdyIVEiG+zFFs8ITAAAAAAAAAJCYCCMT2JYtWyRJo0eP1sSJE32uuf766/XSSy/p/Pnz2r17t6655poo7hDV1dWy2Wyy2WzatGmTzp4963etzWbze2zjxo0aPHhwJLaIKNpadVL7apv8Hne6pH21TdpWdSruK+tiUeEJAAAAAAAAAEg85lhvAP3jcrl06NAhSdK0adP8rps6daqnfefBgwejsrdU1tXVpbVr1+qhhx7SuHHjdOmll+rBBx/Un//854BBpCQdPXpUx48f93mMIDI5rKmsU7CCQbNJWlNZG50N9ZPRCk+H+wYAAAAAAAAAQMqiMjJB1dfXq7W1VVJ3O1Z/MjMzVVRUpBMnTqi6ujpa20tZJpNJ99xzj86cOWNo/cSJEz1zH2m9mvwamjsULJ9zuqSGlo7obKifkqnCEwAAAAAAAAAQWYSRCapnld2wYcMCri0oKNCJEyeCVuZh4NLS0rR48WK9+uqrPo8XFBRo8eLFngAyUJCM5FOQm+VpaeqP2SQVDI7v9qbuCs9gj2NNZS1hJAAAAAAAAACkOMLIBOWuipSkrKzAwYX7eM9zQuFwOHT48OF+nZsK3N9X9/do2rRpnjAyIyNDFRUVmjNnjubMmaPJkyfLbDZ7zuP7mlquLHJpvYHKyCuLXHH9s3Hs5BlDFZ6fnzwT148Diavv+y4AILJ43wWA6OJ9FwCii/ddIDCHw+EZB9hfhJFAmM2dO1ff+ta3NGfOHM2cOZN5j/CYWZaj8QVZOtLQIV9ZnknSuIIsXVGWE+2thWRodpqhysihgwb2CwoAAAAAAAAAkPgIIxNUTs6XYUVHR+D5cu7jPc8JRVpamiZMmNCvc1OB+y9m3N+jCRMmaMGCBTHcEeLZyyPHaNnqXdpX2+QJ9Nxfp5Tla/WyWSrMje82rd9yDdWW6t0B1zhd0t3zJmnCBNq0Ivz6vu8CACKL910AiC7edwEgunjfBQL78MMPB3wNwsgENXToUM+/GxsbA651H+95DoDYKMzN0toVc7Wt6pTWVNaqoaVDBYOztLSiTPPKi5RmNsV6i0HNLy/W1LJ8Hahr8lkdaTJJU0rzNa+8KPqbAwAAAAAAAADEFcLIBFVSUqKcnBy1trbqiy++8Luus7NTJ0+elCSNGTMmWtsDEECa2aSFE4u1cGJiVg2mmU1avWyW/wrP0u4Kz0QIVgEAAAAAAAAAkUUYmaBMJpMmTZqkPXv2aO/evX7X7d+/Xw6HQ5I0efLkaG0PQJJLhgpPAAAAAAAAAEDkEUYmsAULFmjPnj2qqanR4cOHffa0fuuttyRJeXl5mjlzZrS3CCCJJXqFJwAAAAAAAAAg8syx3gD679Zbb1V2drYk6ZlnnvE6/sUXX+iVV16RJN12223KyMiI6v4AAAAAAAAAAACQ2ggjE1hxcbGWL18uSdq8ebMeeeQRHT58WI2Njdq8ebPuvvtutba2qrCwUPfff3+MdwsAAAAAAAAAAIBUQ5vWBPfQQw/p6NGjWrdund544w298cYbvY4PHTpUq1atUkFBQYx2CAAAAAAAAAAAgFRFGJngzGaznn76aS1cuFCvvPKKDh06pLa2Ng0fPlwLFizQvffeq5KSklhvEwAAAAAAAAAAACmIMDJJ3HjjjbrxxhtjvQ0ACcDhdGlr1UmtqaxTQ3OHCnKztLSiVPPLi5VmNsV6ewAAAAAAAACAJEIYCQAp5HRzh5at3qV9tU0ymySnSzKbpPV76zS1LF+rl81SYW5WrLcJAAAAAAAAAEgS5lhvAAAQHQ6nS8tW79KBuiZJ3UFkz68H6pq0bPUuOdw3AAAAAAAAAAAwQISRAJAitlad1L7aJvnLGp0uaV9tk7ZVnYruxgAAAAAAAAAASYswEgBSxJrKOgUbCWk2SWsqa6OzIQAAAAAAAABA0iOMBIAU0dDc4bcq0s3pkhpaOqKzIQAAAAAAAABA0iOMBIAUUZCbZagysmBwVnQ2BAAAAAAAAABIeoSRAJAillaUGqqMXFpRFp0NAQAAAAAAAACSHmEkAKSI+eXFmlqW77c60mSSppbla155UXQ3BgAAAAAAAABIWoSRAJAi0swmrV42S5eV5kuSJ5R0f51Smq/Vy2YpLVgvVwAAAAAAAAAADEqP9QYAANFTmJultSvmalvVKa2prFVDS4cKBmdpaUWZ5pUXEUQCAAAAAAAAAMKKMBIAUkya2aSFE4u1cGJxrLcCAAAAAAAAAEhytGkFAAAAAAAAAAAAEBGEkQAAAAAAAAAAAAAigjASAAAAAAAAAAAAQEQQRgIAAAAAAAAAAACICMJIAAAAAAAAAAAAABFBGAkAAAAAAAAAAAAgIggjAQAAAAAAAAAAAEQEYSQAAAAAAAAAAACAiCCMBAAAAAAAAAAAABARhJEAAAAAAAAAAAAAIoIwEgAAAAAAAAAAAEBEEEYCAAAAAAAAAAAAiAjCSAAAAAAAAAAAAAARQRgJAAAAAAAAAAAAICIIIwEAAAAAAAAAAABEBGEkAAAAAAAAAAAAgIggjAQAAAAAAAAAAAAQEYSRAAAAAAAAAAAAACKCMBIAAAAAAAAAAABARBBGAgAAAAAAAAAAAIgIwkgAAAAAAAAAAAAAEUEYCQAAAAAAAAAAACAiCCMBAAAAAAAAAAAARARhJAAAAAAAAAAAAICIIIwEAAAAAAAAAAAAEBGEkQAAAAAAAAAAAAAigjASAAAAAAAAAAAAQEQQRv6/9u49LOoy/eP4ZzgpKIgooOKZdkRT07Q0y6xsV90OHmrLzi2VooSW2dbV7qodrM1sNbWyLN20k22mpqUWeGg1tN3Cw+JxRVJRAUVAzjDz/f3hNfMDZwY5zYD4fl0XV1++9/M8c0N1Z3PP83wBAAAAAAAAAAAAuAXNSAAAAAAAAAAAAABuQTMSAAAAAAAAAAAAgFvQjAQAAAAAAAAAAADgFjQjAQAAAAAAAAAAALgFzUgAAAAAAAAAAAAAbkEzEgAAAAAAAAAAAIBb0IwEAAAAAAAAAAAA4BY0IwEAAAAAAAAAAAC4Bc1IAAAAAAAAAAAAAG5BMxIAAAAAAAAAAACAW9CMBAAAAAAAAAAAAOAWNCMBAAAAAAAAAAAAuAXNSAAAAAAAAAAAAABuQTMSAAAAAAAAAAAAgFvQjAQAAAAAAAAAAADgFjQjAQAAAAAAAAAAALgFzUgAAAAAAAAAAAAAbkEzEgAAAAAAAAAAAIBb0IwEAAAAAAAAAAAA4BY0IwEAAAAAAAAAAAC4Bc1IAAAAAAAAAAAAAG5BMxIAAAAAAAAAAACAW9CMBAAAAAAAAAAAAOAWNCMBAAAAAAAAAAAAuIVPfScAAM5YrIa2HMzQyqQTOpNXrFbNm2h033YaYg6Tt5epvtMDAAAAAAAAAABVQDMSQINzOq9Yf1zyk/ak5crLJFkNycskrdl1Qr0igrTkj9eqdfMm9Z0mAAAAAAAAAAC4CI5pBdCgWKyG/rjkJyWfyJV0vhFZ/q/JJ3L1xyU/yWK7AQAAAAAAAAAAGiyakQAalC0HM7QnLVeueo1WQ9qTlqsfDmZ6NjEAAAAAAAAAAFBtNCMBNCgrk07oYo+E9DJJK5PSPJMQAAAAAAAAAACoMZqRABqUM3nFLndF2lgN6Ux+sWcSAgAAAAAAAAAANUYzEkCD0qp5kyrtjGzVrIlnEgIAAAAAAAAAADVGMxJAgzK6b7sq7Ywc3TfCMwkBAAAAAAAAAIAaoxkJoEEZYg5Tr4ggl7sjTSapV0SQbjSHejYxAAAAAAAAAABQbTQjATQo3l4mLfnjtbqyXZAk2ZuStr/2bBekJX+8Vt4XO8sVAAAAAAAAAADUO5/6TgAALtS6eROtir1BPxzM1MqkNJ3JL1arZk00um+EbjSH0ogEAAAAAAAAAOASQTMSQIPk7WXSzVFhujkqrL5TAQAAAAAAAAAANXRZNiPT0tKUkJCg7du3a//+/crMzJSXl5fCw8PVv39/3X///erZs2eV1vrxxx+1bNky7dmzRzk5OQoNDdX111+v6OhodenS5aLzz507p8WLF+v7779XWlqafH191bVrV40ZM0Z33323vLwufpJubXMAAAAAAAAAAAAA3MFkGIZR30l40vr16/XUU0+psh/bZDIpJiZGTz31VKVr/f3vf9d7773nNObv768333xTQ4cOdTk/NTVV0dHRSktLcxofNGiQFi5cqCZNmrgth4vZuXOnJKlPnz41XqOxO3DggCSpW7du9ZwJAFweqLsA4FnUXQDwLOouAHgWdReoXF30iS6+7a6RKSgokGEYioiIUGxsrD799FNt27ZNW7du1dy5c9W5c2cZhqF3331XS5cudbnOypUr7U3AgQMH6osvvlBiYqL+8Y9/qHv37iosLNQzzzyjw4cPO51fUlKiCRMmKC0tTU2bNtVf//pX/fDDD0pISFBcXJy8vLz0448/asaMGW7LAQAAAAAAAAAAAHCny64ZGRoaqtdee03x8fGaNGmS+vXrp9atWys0NFQjRozQ8uXL1a5dO0nSvHnzVFJS4rBGUVGR3nzzTUlS9+7d9cEHH+iqq65SSEiIrrvuOi1dulRhYWEqLCzUnDlznObx2WefKSUlRZL0t7/9TQ8++KDCw8PVvn17Pfnkk5oyZYqk8w3Hffv2uSUHAAAAAAAAAAAAwJ0uu2bk4MGDNWbMGJfPYgwODtYjjzwi6fzzHJOSkhzGJCQkKDMzU5IUFxcnX1/fCvGgoCA9/vjjkqT4+Hj72PI+++wzSVKPHj00YsQIh/ijjz6qkJAQGYah5cuXuyUHAAAAAAAAAAAAwJ0uu2ZkVURGRtqvnTXxNm/eLOn8MxmHDBnidI3hw4dLkgzDsI+3OXr0qI4cOSJJGjZsmNP5vr6+9mc9btq0qc5zAAAAAAAAAAAAANyNZqQTZ86csV83b97cIb53715J53c1+vj4OF0jPDxc4eHhkuRwzGpycrL9+qqrrnKZhy126tQpZWVl1WkOAAAAAAAAAAAAgLvRjHQiPj5ekuTl5aXevXtXiFmtVv3666+SpA4dOlS6Tvv27SXJvgvSpvz3tjGVzb9wTl3kAAAAAAAAAAAAALib8y11l7GkpCR7M/K3v/2tQkJCKsTz8/NVWloqSQ6xC7Vq1UqSlJ2dXeF++e8rW6N8rPycusihOiwWiw4cOFDj+Y1dQUGBJPE7AgAPoe4CgGdRdwHAs6i7AOBZ1F2gchaLRd7e3rVag52R5eTm5mrq1KkyDEMBAQGaOnWqwxhbYZIkPz+/Stdr0qSJwxxJKiwsdBjjTNOmTZ2+bl3kAAAAAAAAAAAAALhbg98ZWVhYqBMnTtR4vpeXl7p06XLRcRaLRVOmTNHx48clSdOmTVPHjh1r/LqNibe3t7p161bfaTRYtk/M8DsCAM+g7gKAZ1F3AcCzqLsA4FnUXaByO3furPUaDb4ZuXv3bj388MM1nh8QEKCkpKSLjps+fbr+9a9/SZJiYmI0evRol+vZlJSUVLpmcXGxwxxJ8vf3rzDGx8f534aioiKnr1sXOQAAAAAAAAAAAADuxjGtkubMmaN//vOfkqR7771XTz/9tMuxzZo1k6+vryQpKyur0nVt8eDg4Ar3y39f2RrlY+Xn1EUOAAAAAAAAAAAAgLs1+J2RAwYMcOuDYz/66CMtXLhQkjR8+HDNmDGj0vFeXl7q1KmT/ve//9mPdHXFFr/wmNjy3x8/flwdOnSodP6Fc+oiBwAAAAAAAAAAAMDdLuudkatXr9Zrr70mSbrhhhv0xhtvyMvr4r+SHj16SJL27t2rsrIyp2PS09N16tQpSVL37t0rxK688kr79e7du12+ji3Wpk0bhYSE1GkOAAAAAAAAAAAAgLtdts3IzZs364UXXpBhGOrTp4/mz58vPz+/Ks296aabJEkFBQX64YcfnI7ZsGGDJMlkMtnH23Ts2NG+U9E27kJlZWVKSEiQJN188811ngMAAAAAAAAAAADgbg3+mFZ3+OWXXzR58mSVlZXJbDbr/fffV0BAQJXnDx06VKGhocrMzNT8+fM1ePBg+zMcJencuXP64IMPJEm33nqrQkNDHda477779Oqrryo5OVkbNmzQsGHDKsQ/+ugjnTlzRiaTSffee69bcqgKi8UiSdq5c2eN5l8O+B0BgGdRdwHAs6i7AOBZ1F0A8CzqLlA5278jteE942IPSWxkDh8+rOjoaOXl5alNmzZ6//33FRgYqNLSUqdfkuTt7V1hDR8fH7Vs2VLx8fHKzMxUUlKSunbtKl9fX+3atUtTp05Vamqq/P39NWfOHIcjVqXzx6xu2LBBZ8+e1aZNmxQUFKTw8HDl5ORo6dKlmjdvngzD0JgxYzR27FiH+XWRQ1WcPHlSkqp0fO3lysvLi98PAHgQdRcAPIu6CwCeRd0FAM+i7gKVMwxDktSuXbsar2EybKtcJubPn68FCxZUefyTTz6puLg4p7G///3veu+995zG/P39NXv2bN16660u105NTVV0dLTS0tKcxgcNGqSFCxeqSZMmLteobQ4AAAAAAAAAAACAu1yWx7TWlSlTpmjgwIFatmyZdu/erdzcXIWGhmrQoEF67LHH7M+FdKVz585avXq1Fi9erO+++05paWny9fVVZGSkRo8erT/84Q8X/URGbXMAAAAAAAAAAAAA3OWy2xkJAAAAAAAAAAAAwDM4CBkAAAAAAAAAAACAW9CMBAAAAAAAAAAAAOAWNCMBAAAAAAAAAAAAuAXNSAAAAAAAAAAAAABuQTMSAAAAAAAAAAAAgFvQjAQAAAAAAAAAAADgFjQjAQAAAAAAAAAAALgFzUgAAAAAAAAAAAAAbkEzEgAAAAAAAAAAAIBb+NR3AsClat26dfriiy+0b98+FRQUqG3btrrpppsUHR2t8PDw+k4PADyiqKhIP/zwg7Zu3ardu3fr2LFjKi4uVosWLRQVFaXbbrtNd955p3x8Kv8jR3p6uhYvXqxNmzbp1KlTCggIUPfu3XXPPfdoxIgRVcqltnW5LnIAgPrwn//8Rw8++KAMw5AkLV26VAMGDHA5npoLADVjtVq1du1arV27Vvv27dPZs2cVHBysdu3aqX///ho1apTMZrPTuSkpKVqyZIm2bdumzMxMtWjRQr169dJDDz2kQYMGVem1v/zyS3311VdKSUlRaWmpIiIi9Nvf/lbR0dEKDAy86Bq1zQEAPOnYsWNatmyZEhMTdfz4cZWWlio4OFhRUVG64447dMcdd8jLy/VeK+ou0LCYDNv/sQKoEqvVqueee05ff/2103jLli21cOFC9enTx8OZAYDn9e3bVwUFBZWO6dWrl959912FhoY6jSclJSkmJkbZ2dlO4yNHjtTrr78uk8nkNF4Xdbm2OQBAfSktLdXo0aN16NAh+73KmpHUXAComfT0dE2ePFlJSUkuxzz55JOKi4tzuB8fH6+pU6eqsLDQ6byYmBg9/fTTLtctLi7W+PHjlZiY6DQeERGhJUuWqFOnTi7XqG0OAOBJF6tZknTttdfq3XffVfPmzas9n7oLeB7HtALV9M4779jffBkxYoRWr16txMREvfPOO4qIiNDZs2cVGxurM2fO1HOmAOB+BQUFatKkie68807NmzdPCQkJ2rFjh/75z3/q9ttvlyTt2bNHMTExslgsDvPPnDmj2NhYZWdnKzg4WG+88Ya2bt2qdevW6YEHHpAkrV69Wm+//bbLHGpbl+siBwCoL4sXL9ahQ4fUvn37i46l5gJAzZw9e1aPPvqokpKSFBgYqGeeeUZr167Vjh07tHHjRs2fP1/Dhg2Tn5+fw9zDhw/b34yOiIjQO++8o8TERK1evVrDhw+XJC1cuFCrVq1y+fozZsywvyH+wAMPaP369dq6daveeOMNBQcHKy0tTRMmTFBJSYnT+XWRAwB4yrFjxzRlyhQVFhaqVatWmjFjhtavX69t27bpk08+0a233ipJ+umnnzRz5kyH+dRdoIEyAFRZenq60bt3b8NsNhvjxo0zrFZrhfjRo0eNPn36GGaz2Xj11VfrKUsA8JyXXnrJOH36tMv4iy++aJjNZsNsNhtr1651iM+cOdMwm81GVFSUkZSU5BCfPn26YTabjd69exsZGRkO8bqoy7XNAQDqy9GjR43evXsbffv2Nb7++mt7vd2+fbvT8dRcAKiZZ5991jCbzcagQYOM1NTUas2dOHGiYTabjT59+hhHjx6tELNarcYTTzxhmM1m44YbbjCKiooc5u/du9fo1q2bYTabjRkzZjjEf/nlFyMqKsowm83GRx995JYcAMCT3nzzTfufF3ft2uV0zLhx4wyz2WxceeWVRl5eXoUYdRdomNgZCVTDqlWrVFRUJEl6+umnHY6O6tChg/7whz9IklasWKHS0lKP5wgAnvTXv/5VrVq1chmPi4uzP8PhX//6V4VYSUmJVqxYIUkaOnSo0yP9Jk2aJF9fXxUVFTn9xGBt63Jd5AAA9eXll19WUVGR4uLiFBYWVulYai4A1Mz+/fu1evVqSdKf//znSo/ku1BGRoYSEhIkSffcc486dOhQIW4ymTRlyhSHseV99tlnMgxDvr6+To+A7du3r2655RZJ0ueff+6WHADAk/bv3y9J6tSpk3r37u10zB133CHp/CMLTpw4Yb9P3QUaLpqRQDVs3rxZktS5c2dFRUU5HTNs2DBJ0rkCUG2xAAAT60lEQVRz5/Sf//zHU6kBQIPUsmVLe7MyMzOzQuznn39WXl6epP+vnRcKCQnRNddcI0natGmTQ7y2dbkucgCA+rB+/Xpt2bJFZrNZDz300EXHU3MBoGa+/PJLSVJoaKj9aL2q2rJliwzDkOS67kVFRdkbnM7q3pYtWySdfzZaSEiI0zVsax8+fFhHjx6t8xwAwJOaNGkiSfYPNjtTPla+NlJ3gYaLZiRQRYZhaN++fZLk8lM5ktSrVy95e3tLkvbu3euR3ACgoSorK1NOTo4kqVmzZhViycnJ9uurrrrK5Rq2mmurwTZ1UZdrmwMA1Ie8vDz783GmT58uHx+fi86h5gJAzdhO97juuusqvPldlZOQbHXQx8dHPXv2dDnOVd3LysrSqVOnKoxxpnxNvbD21jYHAPC07t27S5JSU1PtuyQvtH79eknnm3rlT2ui7gINF81IoIrS09NVUFAgSQ7b68vz8/NTaGioJOnIkSMeyQ0AGqotW7bYH+h+4XF8thrp5eWldu3auVyjffv2kqSCggKlp6fb79dFXa5tDgBQH+bOnauMjAyNHDlS/fv3r9Icai4AVF9eXp5+/fVXSVJkZKRyc3P1+uuva8iQIerVq5d69uypMWPG6B//+If9z7zl2epeWFiY/Pz8XL6Ore79+uuvslqt9vspKSn268pqb7t27eyNUle1t6Y5AICn3X///QoODpbFYtGECRO0du1aZWRkqLCwUPv379fzzz+vDRs2KCAgQNOnT68wl7oLNFwX/wgtAElSdna2/drVFn2bVq1a6dSpUxXmAMDlpqysTHPnzpUkBQQEaOTIkRXithoZFBRU6a6e8p9yPHv2rMLDwyvMl2pel2ubAwB4WnJysj799FMFBgbqT3/6U5XnUXMBoPrS09PtR+0VFxdr9OjROn78uD1eWlqq5ORkJScn69tvv9WiRYvUokULe9xW91q2bFnp69jqXklJiQoKCtS8efMK86XKa6+vr6+CgoKUnZ3tsvbWNAcA8LTg4GAtW7ZMcXFxSk1N1TPPPFMh7u3treHDh2vixInq1q1bhRh1F2i42BkJVJHtk+DS/59d7ootXn4OAFxuZs2apYMHD0qSJkyYUOHNZUkqLCyUdPGa2rRpU/t1+bpaF3W5tjkAgCdZrVZNmzZNFotFTz31lFq3bl3ludRcAKi+c+fO2a8XLVqk48eP65FHHlF8fLz27Nmjb775Rr///e8lSbt27dILL7xQYX5N6l5+fr7D/KqsUZe1t3wOAFAfzGaz3n77bafHnFosFqWnpysjI8MhRt0FGi6akQAAoM59/fXX+uijjyRJAwcO1OOPP17PGQHApe+TTz7Rf//7X/Xo0UP33XdffacDAI1e+WPzSktLdd999+mFF15Qhw4d5OfnpyuuuEJz5szRDTfcIEn2JiUAoOYMw9C8efN022236eTJk3r55Ze1adMm7dixQ8uXL9fw4cOVlJSk8ePHa9WqVfWdLoAqohkJVFFAQID9uri4uNKxtnj5OQBwuUhMTLR/Kvw3v/mN5s2bZ3+WQnn+/v6SLl5Ti4qK7Nfl62pd1OXa5gAAnpKRkaG5c+fKZDJp2rRp8vb2rtZ8ai4AVF/5GuTl5aXY2Fin4yZNmmS/3rhxo/26JnWvWbNmDvOrskZd1t7yOQCApy1atEhvv/22/P399fHHH+uee+5Ru3btFBwcrD59+uitt97SmDFjZLFYNH369Ao7JKm7QMNFMxKoouDgYPt1VlZWpWNt8fJzAOBykJycrNjYWJWWlioiIkIffvhhhefmlGerkefOnVNZWZnLNcvX3PLPXKiLulzbHADAU+bMmaO8vDyNGTNGffv2rfZ8ai4AVF/5GtS2bVuFhoY6HdejRw/7h0QOHz5sv2+re2fPnq30dWx1z9fXt8Kb2lWtvWVlZcrNzXWYUxc5AIAnlZSUaNGiRZKk22+/XV27dnU6bvLkyZLON/TWrVtnv0/dBRoumpFAFYWHh9v/w1D+gfUXKikpsX8ip0uXLh7JDQAagtTUVD3xxBPKz89X69attWTJEoWHh7scb6uRFotFJ0+edDnOVnMDAgIqrFcXdbm2OQCAp9jq0IoVK9StWzeHr4cfftg+9uGHH7bft6HmAkD1hYeH23erVPacXl9fX/ubz3l5efb7trqXkZGhkpISl/Ntda9z584VThQp/yZ8ZbX3xIkT9iNlXdXemuYAAJ50+PBhe5OvR48eLse1adNGrVq1kiSlpKTY71N3gYaLf8qBKjKZTOrevbuk8w+md+W///2vLBaLpMr/owkAjUl6erqio6N15swZBQYG6sMPP1SnTp0qnXPllVfaryurq7t375Ykew22qYu6XNscAOBSQc0FgJqx1a7yxwBeqKSkxL4Dpnnz5vb7tjpYVlam5ORkl/Nd1b2QkBC1adOmwhhnytfUC2tvbXMAAE8qf3TpxRiGIUkVGnnUXaDhohkJVMNNN90k6fzunwMHDjgds2HDBklSYGCg+vfv76nUAKDe5OTk6LHHHlNaWpqaNm2qhQsXKioq6qLz+vXrZ3+zxlY7L5SVlaWffvpJknTzzTc7xGtbl+siBwDwhFdeeUWrVq1y+fXKK684HWtDzQWAmrnlllsknf/wnatd3bt377bvkCn/pvKQIUNkMpkkua57+/fvV2pqqiTndW/IkCGSpB07drg88s+2dmRkpDp27Ogwv7Y5AICnlN+FvnfvXpfjTp48aT/mtG3btvb71F2g4aIZCVTDqFGj1LRpU0nnn9tzoePHj+uLL76QJN11113y9fX1aH4A4GmFhYUaP368Dh06JF9fX82bN6/KH8Tw8/PTXXfdJUlKSEhw+qnDBQsWqLS0VE2bNtWoUaMc4rWty3WRAwB4QqdOndS9e3eXX+XfBOnYsaP9vg01FwBqZuTIkWrWrJmsVqvmzZvnELdarXrrrbcknd+dM2zYMHssLCxMQ4cOlSQtX75caWlpDvPnzp3rMLa8sWPHymQyqbS0VAsWLHCI79q1SwkJCfaxF6qLHADAUzp06KD27dtLktauXWtv2F2ofD2+/vrr7dfUXaDh8p4xY8aM+k4CuFQ0a9ZMFotFP/30k1JTU5WSkqIuXbrIy8tL27dv15QpU3TmzBm1bt1as2fP5uHDABo1i8WiSZMmKTExUZL04osv6qabblJpaanTL4vF4vDGdI8ePbRq1Srl5+crPj5e4eHhatWqlTIyMrRgwQJ9/PHHkqQJEyY4/bRgXdTl2uYAAA1BWlqaVq5cKUkaPXq0/U2c8qi5AFB9/v7+8vPz09atW7Vv3z6lp6crIiJCvr6+OnjwoGbMmKFt27ZJku6//36HD1JERUXpq6++UmFhoRISEtSxY0e1aNFCR48e1cyZM/X9999LkqZNm6aePXs6vH5oaKjS0tK0b98+7d69Wzk5OerYsaPKysqUkJCgZ599VoWFhYqMjNQrr7wib29vhzVqmwMAeFJAQIA2btyosrIybdiwQYGBgQoJCZHVatWBAwf02muvac2aNZLO7yqMjo6uMJ+6CzRMJsN2uDKAKrFarXruuef09ddfO40HBwfrvffeU58+fTycGQB41vHjx6v1Cb6IiAht3LjR4X5SUpJiYmKUnZ3tdN7IkSP1+uuv2485uVBd1OXa5gAA9W3Hjh16+OGHJUlLly7VgAEDnI6j5gJAzcycOVNLly51GR8xYoRmzZolPz8/h1h8fLymTp2qwsJCp3NjYmL09NNPu1y7qKhIMTEx9g8BXigiIkJLliyp9Jnttc0BADxp9uzZ+uCDD1RZ66Jv375677331KJFC4cYdRdoeNgZCVSTyWTS7373O0VGRio3N1d5eXkyDEPt27fXqFGj9MYbb+iKK66o7zQBwO1yc3MrfUPmQkFBQXrkkUcc7rdt21Z33nmnrFarsrOzVVRUpMDAQPXt21dTp07VxIkTK31Dui7qcm1zAID6VpWdkRI1FwBq6sYbb9TVV1+t/Px8nTt3TqWlpQoODtaAAQM0depUxcbGOt0dI0ldu3bV7373O5WUlCgnJ0fFxcVq2bKlBg4cqGnTpumee+6p9LV9fHx05513Kjw8XNnZ2SooKJCXl5c6d+6ssWPHatasWQoLC6t0jdrmAACeNGjQIA0ePFgWi0WFhYUqLi6WyWRSSEiI+vfvr4kTJ+r55593eSoddRdoeNgZCQAAAAAAAAAAAMAtvOo7AQAAAAAAAAAAAACNE81IAAAAAAAAAAAAAG5BMxIAAAAAAAAAAACAW9CMBAAAAAAAAAAAAOAWNCMBAAAAAAAAAAAAuAXNSAAAAAAAAAAAAABuQTMSAAAAAAAAAAAAgFvQjAQAAAAAAAAAAADgFjQjAQAAAAAAAAAAALiFT30nAAAAAABATcyfP18LFixwuO/t7a3AwEB17dpVgwcP1tixYxUSElIPGV7cjTfeqPT0dE2ePFkTJ06s73QAAAAAoM6xMxIAAAAA0KhYLBZlZ2frl19+0VtvvaXbbrtNO3furO+0AAAAAOCyxM5IAAAAAMAl75dffrFfFxYWKiUlRYsXL9amTZuUlZWl2NhYfffdd2rWrFk9ZgkAAAAAlx92RgIAAAAALnnNmjWzf7Vu3VrXXnutFi5cqFtuuUWSdPr0aa1Zs6aeswQAAACAyw/NSAAAAABAozVu3Dj79c8//1yPmQAAAADA5YljWgEAAAAAjVbXrl3t11lZWS7H5eXl6eOPP9bGjRuVmpqqgoIChYaG6pprrlF0dLSioqKczisuLtaPP/6ohIQEJSUl6cSJEyotLVVwcLB69eqlu+++W0OHDq3znwsAAAAALhU0IwEAAAAAjZbVarVfBwUFOR2ze/duTZgwQadPn65w/8SJE1q9erXWrFmjv/zlL3rggQcc5s6aNUsff/yxw/3MzExt3LhRGzdu1OjRo/Xaa6/JZDLV8qcBAAAAgEsPzUgAAAAAQKOVkpJiv46MjHSI//rrr3r00UeVn5+vbt26afz48br66qvl7++v1NRULVq0SPHx8Xr55ZfVsWNHDR48uML8wMBAjR07VoMGDVL79u0VFhYmq9Wq48ePa/Xq1fryyy+1cuVK9erVy2kzEwAAAAAaO5qRAAAAAIBGa9GiRZIkX19f3X333Q7xF198Ufn5+erRo4c+//xzNWnSxB7r06eP3n77bU2dOlVr1qzRrFmzHJqRTz31lNPXDQ8PV79+/dStWze99NJL+vDDD2lGAgAAALgsedV3AgAAAAAA1FZ+fr796/Tp0/r3v/+tmJgYbdq0Sd7e3nr99dfVpk2bCnNSUlK0bds2SdJLL71UoRFZnq3hePDgQR04cKBaeY0cOVKSlJaWpqNHj1b3xwIAAACASx47IwEAAAAAl7yrr77a6f2IiAi9//77uuKKKxxi27dvlyS1aNFCXbp0UX5+vtM1WrZsqRYtWignJ0fJycnq1q1bhXhmZqY+//xzbdu2TUeOHNG5c+dksVgc1jly5Ig6duxY3R8NAAAAAC5pNCMBAAAAAI1WWlqaZs+erfnz58vX17dC7MiRI5KknJwc9evXr0rrZWVlVfg+MTFRkyZNUm5u7kXn5uXlVTFrAAAAAGg8aEYCAAAAAC555Y9PzcrK0s6dOzVnzhwdPHhQmzZt0vz58zVlypQKc2rSHCwpKbFfZ2dna/LkycrNzVVoaKgee+wx9e/fX23atJG/v79MJpPKysp07bXXSpLKyspq+NMBAAAAwKWLZiQAAAAAoFEJCQnRLbfcov79+2vMmDE6duyYPvjgA40ZM0adO3e2j/P395ckde7cWRs2bKj266xbt045OTny8fHRsmXL1KVLF4cxF+6kBAAAAIDLjVd9JwAAAAAAgDsEBQVp+vTpkiSLxaIFCxZUiHfo0EGSdOrUKZWWllZ7fdtuzKioKKeNSEk6dOhQtdcFAAAAgMaEZiQAAAAAoNEaPHiwBgwYIEn69ttvdezYMXvsuuuukyQVFRVp8+bN1V7bdmSr1Wp1Oeabb76p9roAAAAA0JjQjAQAAAAANGpxcXGSzu+OXLRokf1+VFSUvVE5c+ZMnTp1qtJ1UlJSKnzfvn17Sed3P5Zvctr8/PPPWrFiRa1yBwAAAIBLHc1IAAAAAECjds0112jgwIGSpJUrVyo9Pd0ee+mllxQYGKiTJ09q1KhRWrRokQ4ePKicnBydPn1ae/bs0SeffKKHHnpI9957b4V1hw0bJpPJpNLSUo0bN06bN2/W6dOndezYMX344Yd6/PHH1alTJ4/+rAAAAADQ0PjUdwIAAAAAALhbXFyctm/frpKSEi1ZskTPP/+8JKlz585aunSpnnzySaWlpWn27NmaPXu20zVCQkIqfB8ZGanY2FgtWLBAKSkpGj9+fIV4eHi43nrrLd1+++3u+aEAAAAA4BJAMxIAAAAA0Oj1799f1113nRITE7V8+XLFxMQoODhYktSjRw+tW7dOK1asUEJCgvbv36+cnBz5+PgoLCxMUVFRuv766zVs2DCHdePi4hQZGally5Zp//79MgxDbdq00c0336wnnnhCQUFBnv5RAQAAAKBBMRmGYdR3EgAAAAAAAAAAAAAaH54ZCQAAAAAAAAAAAMAtaEYCAAAAAAAAAAAAcAuakQAAAAAAAAAAAADcgmYkAAAAAAAAAAAAALegGQkAAAAAAAAAAADALWhGAgAAAAAAAAAAAHALmpEAAAAAAAAAAAAA3IJmJAAAAAAAAAAAAAC3oBkJAAAAAAAAAAAAwC1oRgIAAAAAAAAAAABwC5qRAAAAAAAAAAAAANyCZiQAAAAAAAAAAAAAt/g/HdXosE0aUtEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "X = data[['season_1', 'season_2', 'season_3', 'season_4', \n",
    "          'mnth_1', 'mnth_2', 'mnth_3', 'mnth_4', 'mnth_5', 'mnth_6', 'mnth_7', 'mnth_8', 'mnth_9', 'mnth_10', 'mnth_11', 'mnth_12', \n",
    "          'weathersit_1', 'weathersit_2', 'weathersit_1',\n",
    "          'weekday_0', 'weekday_1', 'weekday_2','weekday_3', 'weekday_4','weekday_5', 'weekday_6',\n",
    "          'temp', 'atemp', 'hum', 'windspeed', 'holiday', 'workingday', 'yr']]\n",
    "y = data[['cnt']]\n",
    "from sklearn.linear_model import LinearRegression\n",
    "linreg = LinearRegression()\n",
    "linreg.fit(X_train, y_train)\n",
    "#模型拟合测试集\n",
    "y_pred = linreg.predict(X_test)\n",
    "print(linreg.intercept_)\n",
    "print(linreg.coef_)\n",
    "pred = linreg.score(X_test, y_test)\n",
    "print(\"SCORE:\",pred)\n",
    "from sklearn import metrics\n",
    "print(\"MSE:\",metrics.mean_squared_error(y_test, y_pred))\n",
    "# 用scikit-learn计算RMSE\n",
    "print(\"RMSE:\",np.sqrt(metrics.mean_squared_error(y_test, y_pred)))\n",
    "\n",
    "from sklearn.model_selection import cross_val_predict\n",
    "predicted = cross_val_predict(linreg, X, y, cv=10)\n",
    "# 用scikit-learn计算MSE\n",
    "print(\"MSE:\",metrics.mean_squared_error(y, predicted))\n",
    "# 用scikit-learn计算RMSE\n",
    "print(\"RMSE:\",np.sqrt(metrics.mean_squared_error(y, predicted)))\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.scatter(y, predicted)\n",
    "ax.plot([y.min(), y.max()], [y.min(), y.max()], 'k--', lw=4)\n",
    "ax.set_xlabel('Real')\n",
    "ax.set_ylabel('Predicted')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[994.42703544]\n",
      "[[ 3.58550162e-01 -8.06348235e+02  1.44936610e+02 -8.00816432e+01\n",
      "   7.41493269e+02 -4.02859847e+02 -2.27327179e+02  2.01452187e+02\n",
      "   2.47224458e+01  3.45495630e+02  2.05233372e+02 -1.49917216e+02\n",
      "   2.03007083e+02  7.07182367e+02  9.79177503e+01 -3.96861404e+02\n",
      "  -6.08045188e+02  1.01370744e+03  1.47752246e+03  1.01370744e+03\n",
      "  -8.86022570e+01 -1.82736184e+02 -7.56781417e+01 -2.82906183e+01\n",
      "  -9.67450099e+00  1.10668537e+02  2.74313164e+02  1.80369703e+03\n",
      "   1.62813277e+03 -1.35194566e+03 -1.31383995e+03 -4.26382715e+02\n",
      "   2.40671808e+02  1.83329865e+03]]\n",
      "最优超参值： 0.46415888336127775\n",
      "pred: 0.8553806525339184\n",
      "MSE: 552793.4109994564\n",
      "RMSE: 743.5007807658687\n",
      "MSE: 839679.9473324213\n",
      "RMSE: 916.340519311692\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "X = data[['season_1', 'season_2', 'season_3', 'season_4', \n",
    "          'mnth_1', 'mnth_2', 'mnth_3', 'mnth_4', 'mnth_5', 'mnth_6', 'mnth_7', 'mnth_8', 'mnth_9', 'mnth_10', 'mnth_11', 'mnth_12', \n",
    "          'weathersit_1', 'weathersit_2', 'weathersit_1',\n",
    "          'weekday_0', 'weekday_1', 'weekday_2','weekday_3', 'weekday_4','weekday_5', 'weekday_6',\n",
    "          'temp', 'atemp', 'hum', 'windspeed', 'holiday', 'workingday', 'yr']]\n",
    "y = data[['cnt']]\n",
    "from sklearn.linear_model import Ridge\n",
    "from sklearn.linear_model import RidgeCV\n",
    "alpha = np.logspace(-3,3,10) \n",
    "ridge = RidgeCV( alphas = alpha, cv = 5 )\n",
    "ridge.fit(X_train, y_train)\n",
    "#模型拟合测试集\n",
    "y_pred = ridge.predict(X_test)\n",
    "print(ridge.intercept_)\n",
    "print(ridge.coef_)\n",
    "print('最优超参值：',ridge.alpha_)\n",
    "pred = ridge.score(X_test, y_test)\n",
    "print(\"pred:\",pred)\n",
    "from sklearn import metrics\n",
    "print(\"MSE:\",metrics.mean_squared_error(y_test, y_pred))\n",
    "# 用scikit-learn计算RMSE\n",
    "print(\"RMSE:\",np.sqrt(metrics.mean_squared_error(y_test, y_pred)))\n",
    "\n",
    "from sklearn.model_selection import cross_val_predict\n",
    "predicted = cross_val_predict(linreg, X, y, cv=10)\n",
    "# 用scikit-learn计算MSE\n",
    "print(\"MSE:\",metrics.mean_squared_error(y, predicted))\n",
    "# 用scikit-learn计算RMSE\n",
    "print(\"RMSE:\",np.sqrt(metrics.mean_squared_error(y, predicted)))\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.scatter(y, predicted)\n",
    "ax.plot([y.min(), y.max()], [y.min(), y.max()], 'k--', lw=4)\n",
    "ax.set_xlabel('Real')\n",
    "ax.set_ylabel('Predicted')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/sklearn/linear_model/coordinate_descent.py:1109: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  y = column_or_1d(y, warn=True)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1729.7290466851182\n",
      "[ 1.84038755e-01 -1.25678011e+03  6.21090988e+00 -6.27536682e+01\n",
      "  3.51645938e+02 -1.22634263e+02 -0.00000000e+00  2.30483427e+02\n",
      " -0.00000000e+00  1.33450449e+02  2.94789912e+01 -3.12791877e+02\n",
      " -0.00000000e+00  6.30820954e+02  3.98785442e+02 -4.39313268e+02\n",
      " -3.46713739e+02  6.21883776e+02  9.62452693e+02  8.95081004e+02\n",
      " -3.03001881e+02 -4.29565785e+01 -8.25300530e+01  9.65496297e+00\n",
      " -0.00000000e+00  9.74867412e+01  1.04001398e+01  1.81671580e+03\n",
      "  1.63026780e+03 -1.16969588e+03 -1.11656996e+03 -6.21478178e+02\n",
      "  5.25712423e+01  1.93416471e+03]\n",
      "SCORE: 0.8422762845123339\n",
      "MSE: 603794.4387468216\n",
      "RMSE: 777.0421087346692\n",
      "MSE: 840344.4122246965\n",
      "RMSE: 916.7030120080857\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "X = data[['instant', 'season_1', 'season_2', 'season_3', 'season_4', 'mnth_1', 'mnth_2', 'mnth_3', 'mnth_4', 'mnth_5', 'mnth_6', 'mnth_7', 'mnth_8',\n",
    "          'mnth_9', 'mnth_10', 'mnth_11', 'mnth_12', 'weathersit_1', 'weathersit_2', 'weathersit_1', 'weekday_0', 'weekday_1', 'weekday_2','weekday_3', 'weekday_4','weekday_5', 'weekday_6',\n",
    "         'temp', 'atemp', 'hum', 'windspeed', 'holiday', 'workingday', 'yr']]\n",
    "y = data[['cnt']]\n",
    "from sklearn.linear_model import Lasso\n",
    "from sklearn.linear_model import LassoCV\n",
    "alpha = np.logspace(-3,3,10) \n",
    "lasso = LassoCV( max_iter=20000, alphas = alpha, random_state=1, cv = 5 )\n",
    "# lasso = Lasso( max_iter=20000 )\n",
    "lasso.fit(X_train, y_train)\n",
    "#模型拟合测试集\n",
    "y_pred = lasso.predict(X_test)\n",
    "print(lasso.intercept_)\n",
    "print(lasso.coef_)\n",
    "pred = lasso.score(X_test, y_test)\n",
    "print(\"SCORE:\",pred)\n",
    "from sklearn import metrics\n",
    "print(\"MSE:\",metrics.mean_squared_error(y_test, y_pred))\n",
    "# 用scikit-learn计算RMSE\n",
    "print(\"RMSE:\",np.sqrt(metrics.mean_squared_error(y_test, y_pred)))\n",
    "\n",
    "from sklearn.model_selection import cross_val_predict\n",
    "predicted = cross_val_predict(linreg, X, y, cv=10)\n",
    "# 用scikit-learn计算MSE\n",
    "print(\"MSE:\",metrics.mean_squared_error(y, predicted))\n",
    "# 用scikit-learn计算RMSE\n",
    "print(\"RMSE:\",np.sqrt(metrics.mean_squared_error(y, predicted)))\n",
    "fig, ax = plt.subplots()\n",
    "ax.scatter(y, predicted)\n",
    "ax.plot([y.min(), y.max()], [y.min(), y.max()], 'k--', lw=4)\n",
    "ax.set_xlabel('Real')\n",
    "ax.set_ylabel('Predicted')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "通过比对RMSE 和SCORE比对 性能相差不大  岭回归性能稍微好点"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
